Overview

Dataset statistics

Number of variables140
Number of observations52004
Missing cells0
Missing cells (%)0.0%
Total size in memory55.5 MiB
Average record size in memory1.1 KiB

Variable types

Text1
Numeric139

Alerts

distinct_services_w1_2 is highly skewed (γ1 = -131.6535856)Skewed
customer_id has unique valuesUnique
usage_app_facebook_daily_std_dev_w1_2 has unique valuesUnique
usage_app_youtube_daily_std_dev_w1_2 has unique valuesUnique
usage_app_other_std_dev_w1_2 has unique valuesUnique
data_usage_change_2wk has unique valuesUnique
spend_change_2wk has unique valuesUnique
usage_app_facebook_daily_total_w3_4 has 1224 (2.4%) zerosZeros
usage_app_facebook_daily_active_days_w3_4 has 1224 (2.4%) zerosZeros
usage_app_facebook_daily_avg_daily_w3_4 has 1224 (2.4%) zerosZeros
usage_app_facebook_daily_median_w1_2 has 2607 (5.0%) zerosZeros
usage_app_facebook_daily_median_w3_4 has 20833 (40.1%) zerosZeros
usage_app_facebook_daily_std_dev_w3_4 has 1224 (2.4%) zerosZeros
usage_app_youtube_daily_total_w3_4 has 1319 (2.5%) zerosZeros
usage_app_youtube_daily_active_days_w3_4 has 1319 (2.5%) zerosZeros
usage_app_youtube_daily_avg_daily_w3_4 has 1319 (2.5%) zerosZeros
usage_app_youtube_daily_median_w1_2 has 2496 (4.8%) zerosZeros
usage_app_youtube_daily_median_w3_4 has 20920 (40.2%) zerosZeros
usage_app_youtube_daily_std_dev_w3_4 has 1319 (2.5%) zerosZeros
usage_app_tiktok_daily_total_w3_4 has 1280 (2.5%) zerosZeros
usage_app_tiktok_daily_active_days_w3_4 has 1280 (2.5%) zerosZeros
usage_app_tiktok_daily_avg_daily_w3_4 has 1280 (2.5%) zerosZeros
usage_app_tiktok_daily_median_w1_2 has 2529 (4.9%) zerosZeros
usage_app_tiktok_daily_median_w3_4 has 20867 (40.1%) zerosZeros
usage_app_tiktok_daily_std_dev_w3_4 has 1280 (2.5%) zerosZeros
usage_app_whatsapp_daily_total_w3_4 has 1256 (2.4%) zerosZeros
usage_app_whatsapp_daily_active_days_w3_4 has 1256 (2.4%) zerosZeros
usage_app_whatsapp_daily_avg_daily_w3_4 has 1256 (2.4%) zerosZeros
usage_app_whatsapp_daily_median_w1_2 has 2459 (4.7%) zerosZeros
usage_app_whatsapp_daily_median_w3_4 has 20722 (39.8%) zerosZeros
usage_app_whatsapp_daily_std_dev_w3_4 has 1256 (2.4%) zerosZeros
usage_app_helakuru_daily_total_w3_4 has 1139 (2.2%) zerosZeros
usage_app_helakuru_daily_active_days_w3_4 has 1139 (2.2%) zerosZeros
usage_app_helakuru_daily_avg_daily_w3_4 has 1139 (2.2%) zerosZeros
usage_app_helakuru_daily_median_w1_2 has 2535 (4.9%) zerosZeros
usage_app_helakuru_daily_median_w3_4 has 20789 (40.0%) zerosZeros
usage_app_helakuru_daily_std_dev_w3_4 has 1139 (2.2%) zerosZeros
usage_app_other_total_w3_4 has 1227 (2.4%) zerosZeros
usage_app_other_active_days_w3_4 has 1227 (2.4%) zerosZeros
usage_app_other_avg_daily_w3_4 has 1227 (2.4%) zerosZeros
usage_app_other_median_w1_2 has 2567 (4.9%) zerosZeros
usage_app_other_median_w3_4 has 20854 (40.1%) zerosZeros
usage_app_other_std_dev_w3_4 has 1227 (2.4%) zerosZeros
usage_voice_d2d_incoming_total_w3_4 has 1291 (2.5%) zerosZeros
usage_voice_d2d_incoming_active_days_w3_4 has 1291 (2.5%) zerosZeros
usage_voice_d2d_incoming_avg_daily_w3_4 has 1291 (2.5%) zerosZeros
usage_voice_d2d_incoming_median_w1_2 has 2504 (4.8%) zerosZeros
usage_voice_d2d_incoming_median_w3_4 has 20913 (40.2%) zerosZeros
usage_voice_d2d_incoming_std_dev_w3_4 has 1291 (2.5%) zerosZeros
usage_voice_d2d_outgoing_total_w3_4 has 1195 (2.3%) zerosZeros
usage_voice_d2d_outgoing_active_days_w3_4 has 1195 (2.3%) zerosZeros
usage_voice_d2d_outgoing_avg_daily_w3_4 has 1195 (2.3%) zerosZeros
usage_voice_d2d_outgoing_median_w1_2 has 2567 (4.9%) zerosZeros
usage_voice_d2d_outgoing_median_w3_4 has 20956 (40.3%) zerosZeros
usage_voice_d2d_outgoing_std_dev_w3_4 has 1195 (2.3%) zerosZeros
usage_voice_nd2d_incoming_total_w3_4 has 1217 (2.3%) zerosZeros
usage_voice_nd2d_incoming_active_days_w3_4 has 1217 (2.3%) zerosZeros
usage_voice_nd2d_incoming_avg_daily_w3_4 has 1217 (2.3%) zerosZeros
usage_voice_nd2d_incoming_median_w1_2 has 2531 (4.9%) zerosZeros
usage_voice_nd2d_incoming_median_w3_4 has 20992 (40.4%) zerosZeros
usage_voice_nd2d_incoming_std_dev_w3_4 has 1217 (2.3%) zerosZeros
usage_voice_d2nd_outgoing_total_w3_4 has 1268 (2.4%) zerosZeros
usage_voice_d2nd_outgoing_active_days_w3_4 has 1268 (2.4%) zerosZeros
usage_voice_d2nd_outgoing_avg_daily_w3_4 has 1268 (2.4%) zerosZeros
usage_voice_d2nd_outgoing_median_w1_2 has 2566 (4.9%) zerosZeros
usage_voice_d2nd_outgoing_median_w3_4 has 20898 (40.2%) zerosZeros
usage_voice_d2nd_outgoing_std_dev_w3_4 has 1268 (2.4%) zerosZeros
usage_pack_data_total_w3_4 has 1181 (2.3%) zerosZeros
usage_pack_data_active_days_w3_4 has 1181 (2.3%) zerosZeros
usage_pack_data_avg_daily_w3_4 has 1181 (2.3%) zerosZeros
usage_pack_data_median_w1_2 has 2549 (4.9%) zerosZeros
usage_pack_data_median_w3_4 has 20942 (40.3%) zerosZeros
usage_pack_data_std_dev_w3_4 has 1181 (2.3%) zerosZeros
usage_pack_vas_total_w3_4 has 1194 (2.3%) zerosZeros
usage_pack_vas_active_days_w3_4 has 1194 (2.3%) zerosZeros
usage_pack_vas_avg_daily_w3_4 has 1194 (2.3%) zerosZeros
usage_pack_vas_median_w1_2 has 2528 (4.9%) zerosZeros
usage_pack_vas_median_w3_4 has 20609 (39.6%) zerosZeros
usage_pack_vas_std_dev_w3_4 has 1194 (2.3%) zerosZeros
messaging_data_w3_4 has 1256 (2.4%) zerosZeros
pct_data_on_messaging_w3_4 has 1256 (2.4%) zerosZeros
pct_spend_on_vas_w3_4 has 1194 (2.3%) zerosZeros
change_in_distinct_services has 39221 (75.4%) zerosZeros
churn has 39982 (76.9%) zerosZeros

Reproduction

Analysis started2025-11-23 13:16:53.103133
Analysis finished2025-11-23 13:17:04.712074
Duration11.61 seconds
Software versionydata-profiling vv4.18.0
Download configurationconfig.json

Variables

customer_id
Text

Unique 

Distinct52004
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:06.027335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length64
Median length64
Mean length64
Min length64

Characters and Unicode

Total characters3328256
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52004 ?
Unique (%)100.0%

Sample

1st row0000f727854b50bb95c054b39c1fe5c92e5ebcfa4bcb5dc279f56aa96a365e5a
2nd row0001702d0abcdbeeb23f7c434aa6858030f365caf1464aa9c383837cba2f82a6
3rd row0001ae52a920c36edc7ab364ea58a58ca725f0ad44c02ba74ecefe08bb2b91a3
4th row0002511664bff302e40b19ed6872ad4390ac59901e55e2c81a9cc02b21de783a
5th row0003dbd80ea9a5fb7a2efabdb984c5fa75450cda717e39853758fb19531a663b
ValueCountFrequency (%)
0000f727854b50bb95c054b39c1fe5c92e5ebcfa4bcb5dc279f56aa96a365e5a1
 
< 0.1%
00109a468f8c335eea92dee4e8a15bd97826f100995a14a7c1212d22fe7941af1
 
< 0.1%
0025f0c3ede4ce6c611ad08e8ffc3d1db93416eb5a772d7ffcb0b3742c4eec091
 
< 0.1%
00253c3e61a798ba1b2de698c7b433f191ccfc31ed93e413ac40b06f6e655fca1
 
< 0.1%
0023dbd9d0d319b3939054ee4cbd75f1c6a804b22d2f29c317b245543c0e8d6d1
 
< 0.1%
0001ae52a920c36edc7ab364ea58a58ca725f0ad44c02ba74ecefe08bb2b91a31
 
< 0.1%
0002511664bff302e40b19ed6872ad4390ac59901e55e2c81a9cc02b21de783a1
 
< 0.1%
0003dbd80ea9a5fb7a2efabdb984c5fa75450cda717e39853758fb19531a663b1
 
< 0.1%
00049f6d0873b02d39ec46aeb294f1cc7c69305bbd172f46a01476c20d0458a91
 
< 0.1%
0005212086e5708f5e2a596558ba5fbf44e25fd47697e68cfa1a7dedffa029661
 
< 0.1%
Other values (51994)51994
> 99.9%
2025-11-23T20:17:08.123204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6209085
 
6.3%
f208531
 
6.3%
4208431
 
6.3%
0208347
 
6.3%
9208295
 
6.3%
2208103
 
6.3%
7208097
 
6.3%
d208062
 
6.3%
e207902
 
6.2%
a207897
 
6.2%
Other values (6)1245506
37.4%

Most occurring categories

ValueCountFrequency (%)
(unknown)3328256
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
6209085
 
6.3%
f208531
 
6.3%
4208431
 
6.3%
0208347
 
6.3%
9208295
 
6.3%
2208103
 
6.3%
7208097
 
6.3%
d208062
 
6.3%
e207902
 
6.2%
a207897
 
6.2%
Other values (6)1245506
37.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown)3328256
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
6209085
 
6.3%
f208531
 
6.3%
4208431
 
6.3%
0208347
 
6.3%
9208295
 
6.3%
2208103
 
6.3%
7208097
 
6.3%
d208062
 
6.3%
e207902
 
6.2%
a207897
 
6.2%
Other values (6)1245506
37.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown)3328256
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
6209085
 
6.3%
f208531
 
6.3%
4208431
 
6.3%
0208347
 
6.3%
9208295
 
6.3%
2208103
 
6.3%
7208097
 
6.3%
d208062
 
6.3%
e207902
 
6.2%
a207897
 
6.2%
Other values (6)1245506
37.4%
Distinct47968
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1168.308332
Minimum59.7
Maximum5825.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:08.358062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum59.7
5-th percentile551.8055
Q1780.565
median1035.71
Q31344.0825
95-th percentile2408.6005
Maximum5825.46
Range5765.76
Interquartile range (IQR)563.5175

Descriptive statistics

Standard deviation584.8479158
Coefficient of variation (CV)0.5005938072
Kurtosis5.252951348
Mean1168.308332
Median Absolute Deviation (MAD)276.45
Skewness1.963091394
Sum60756706.49
Variance342047.0846
MonotonicityNot monotonic
2025-11-23T20:17:08.629896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1357.734
 
< 0.1%
635.044
 
< 0.1%
1043.464
 
< 0.1%
1283.974
 
< 0.1%
1293.964
 
< 0.1%
871.94
 
< 0.1%
799.014
 
< 0.1%
810.514
 
< 0.1%
1092.754
 
< 0.1%
972.264
 
< 0.1%
Other values (47958)51964
99.9%
ValueCountFrequency (%)
59.71
< 0.1%
108.331
< 0.1%
140.481
< 0.1%
145.891
< 0.1%
171.031
< 0.1%
ValueCountFrequency (%)
5825.461
< 0.1%
5629.171
< 0.1%
5470.371
< 0.1%
5465.111
< 0.1%
5298.761
< 0.1%

usage_app_facebook_daily_total_w3_4
Real number (ℝ)

Zeros 

Distinct47177
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean828.5278377
Minimum0
Maximum6205.67
Zeros1224
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:08.901729image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50.339
Q1299.66
median689.46
Q31162.6225
95-th percentile2163.741
Maximum6205.67
Range6205.67
Interquartile range (IQR)862.9625

Descriptive statistics

Standard deviation685.5327173
Coefficient of variation (CV)0.8274106025
Kurtosis2.701446861
Mean828.5278377
Median Absolute Deviation (MAD)422.5
Skewness1.385580325
Sum43086761.67
Variance469955.1065
MonotonicityNot monotonic
2025-11-23T20:17:09.183559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01224
 
2.4%
228.066
 
< 0.1%
622.445
 
< 0.1%
50.335
 
< 0.1%
92.854
 
< 0.1%
292.724
 
< 0.1%
496.624
 
< 0.1%
101.784
 
< 0.1%
134.384
 
< 0.1%
5654
 
< 0.1%
Other values (47167)50740
97.6%
ValueCountFrequency (%)
01224
2.4%
0.051
 
< 0.1%
0.11
 
< 0.1%
0.191
 
< 0.1%
0.21
 
< 0.1%
ValueCountFrequency (%)
6205.671
< 0.1%
5747.181
< 0.1%
5724.731
< 0.1%
5516.241
< 0.1%
5308.521
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.84308899
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:09.402426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q18
median11
Q314
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.747624701
Coefficient of variation (CV)0.2533987043
Kurtosis-1.132675708
Mean10.84308899
Median Absolute Deviation (MAD)3
Skewness-0.2630010732
Sum563884
Variance7.549441497
MonotonicityNot monotonic
2025-11-23T20:17:09.604303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416023
30.8%
87476
14.4%
96540
12.6%
105531
 
10.6%
134093
 
7.9%
113505
 
6.7%
123216
 
6.2%
73013
 
5.8%
61552
 
3.0%
5719
 
1.4%
Other values (4)336
 
0.6%
ValueCountFrequency (%)
12
 
< 0.1%
213
 
< 0.1%
382
 
0.2%
4239
 
0.5%
5719
1.4%
ValueCountFrequency (%)
1416023
30.8%
134093
 
7.9%
123216
 
6.2%
113505
 
6.7%
105531
 
10.6%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.179793862
Minimum0
Maximum14
Zeros1224
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:09.783192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile13
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.362110761
Coefficient of variation (CV)0.4682739958
Kurtosis-0.3755927177
Mean7.179793862
Median Absolute Deviation (MAD)2
Skewness-0.04747787872
Sum373378
Variance11.30378877
MonotonicityNot monotonic
2025-11-23T20:17:09.978078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86878
13.2%
96438
12.4%
76094
11.7%
65704
11.0%
54087
7.9%
103979
7.7%
43103
 
6.0%
112688
 
5.2%
32614
 
5.0%
142582
 
5.0%
Other values (5)7837
15.1%
ValueCountFrequency (%)
01224
 
2.4%
12071
4.0%
22030
3.9%
32614
5.0%
43103
6.0%
ValueCountFrequency (%)
142582
5.0%
131060
 
2.0%
121452
 
2.8%
112688
5.2%
103979
7.7%
Distinct47661
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.45059513
Minimum4.264285714
Maximum416.1042857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:10.227926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.264285714
5-th percentile39.41467857
Q155.75464286
median73.97928571
Q396.00589286
95-th percentile172.0428929
Maximum416.1042857
Range411.84
Interquartile range (IQR)40.25125

Descriptive statistics

Standard deviation41.77485113
Coefficient of variation (CV)0.5005938072
Kurtosis5.252951348
Mean83.45059513
Median Absolute Deviation (MAD)19.74642857
Skewness1.963091394
Sum4339764.749
Variance1745.138187
MonotonicityNot monotonic
2025-11-23T20:17:10.507754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.447142865
 
< 0.1%
92.425714294
 
< 0.1%
68.54
 
< 0.1%
69.362857144
 
< 0.1%
72.994
 
< 0.1%
74.430714294
 
< 0.1%
72.055714294
 
< 0.1%
54.2254
 
< 0.1%
62.278571434
 
< 0.1%
45.364
 
< 0.1%
Other values (47651)51963
99.9%
ValueCountFrequency (%)
4.2642857141
< 0.1%
7.7378571431
< 0.1%
10.034285711
< 0.1%
10.420714291
< 0.1%
12.216428571
< 0.1%
ValueCountFrequency (%)
416.10428571
< 0.1%
402.08357141
< 0.1%
390.74071431
< 0.1%
390.3651
< 0.1%
378.48285711
< 0.1%
Distinct46951
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.18055983
Minimum0
Maximum443.2621429
Zeros1224
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:10.776589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.595642857
Q121.40428571
median49.24714286
Q383.04446429
95-th percentile154.5529286
Maximum443.2621429
Range443.2621429
Interquartile range (IQR)61.64017857

Descriptive statistics

Standard deviation48.96662267
Coefficient of variation (CV)0.8274106025
Kurtosis2.701446861
Mean59.18055983
Median Absolute Deviation (MAD)30.17857143
Skewness1.385580325
Sum3077625.834
Variance2397.730135
MonotonicityNot monotonic
2025-11-23T20:17:11.067414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01224
 
2.4%
16.296
 
< 0.1%
35.472857145
 
< 0.1%
3.5955
 
< 0.1%
36.222142865
 
< 0.1%
44.465
 
< 0.1%
21.387857144
 
< 0.1%
6.6321428574
 
< 0.1%
29.525714294
 
< 0.1%
9.1454
 
< 0.1%
Other values (46941)50738
97.6%
ValueCountFrequency (%)
01224
2.4%
0.0035714285711
 
< 0.1%
0.0071428571431
 
< 0.1%
0.013571428571
 
< 0.1%
0.014285714291
 
< 0.1%
ValueCountFrequency (%)
443.26214291
< 0.1%
410.51285711
< 0.1%
408.90928571
< 0.1%
394.01714291
< 0.1%
379.181
< 0.1%

usage_app_facebook_daily_median_w1_2
Real number (ℝ)

Zeros 

Distinct23744
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.64683121
Minimum0
Maximum431.56
Zeros2607
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:11.342247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150.83
median71.3
Q386.84
95-th percentile126.78425
Maximum431.56
Range431.56
Interquartile range (IQR)36.01

Descriptive statistics

Standard deviation38.27218458
Coefficient of variation (CV)0.5495179597
Kurtosis6.047486183
Mean69.64683121
Median Absolute Deviation (MAD)17.8275
Skewness1.256134573
Sum3621913.81
Variance1464.760113
MonotonicityNot monotonic
2025-11-23T20:17:11.608084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02607
 
5.0%
76.6613
 
< 0.1%
79.15513
 
< 0.1%
76.6113
 
< 0.1%
72.9612
 
< 0.1%
75.2412
 
< 0.1%
78.6512
 
< 0.1%
77.30512
 
< 0.1%
75.3712
 
< 0.1%
75.47512
 
< 0.1%
Other values (23734)49286
94.8%
ValueCountFrequency (%)
02607
5.0%
0.0151
 
< 0.1%
0.021
 
< 0.1%
0.0351
 
< 0.1%
0.042
 
< 0.1%
ValueCountFrequency (%)
431.561
< 0.1%
395.41
< 0.1%
389.9051
< 0.1%
389.71
< 0.1%
377.221
< 0.1%

usage_app_facebook_daily_median_w3_4
Real number (ℝ)

Zeros 

Distinct21069
Distinct (%)40.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.55161901
Minimum0
Maximum457.16
Zeros20833
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:11.872922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median13.685
Q369.45
95-th percentile132.9955
Maximum457.16
Range457.16
Interquartile range (IQR)69.45

Descriptive statistics

Standard deviation49.2845536
Coefficient of variation (CV)1.27840425
Kurtosis2.111191269
Mean38.55161901
Median Absolute Deviation (MAD)13.685
Skewness1.389550643
Sum2004838.395
Variance2428.967223
MonotonicityNot monotonic
2025-11-23T20:17:12.140760image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020833
40.1%
3.278
 
< 0.1%
2.3958
 
< 0.1%
0.427
 
< 0.1%
13.1057
 
< 0.1%
4.0357
 
< 0.1%
3.0857
 
< 0.1%
1.4657
 
< 0.1%
64.916
 
< 0.1%
1.0956
 
< 0.1%
Other values (21059)31108
59.8%
ValueCountFrequency (%)
020833
40.1%
0.0053
 
< 0.1%
0.013
 
< 0.1%
0.0154
 
< 0.1%
0.024
 
< 0.1%
ValueCountFrequency (%)
457.161
< 0.1%
423.8051
< 0.1%
418.5451
< 0.1%
399.7051
< 0.1%
390.9551
< 0.1%

usage_app_facebook_daily_std_dev_w1_2
Real number (ℝ)

Unique 

Distinct52004
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.12996175
Minimum0.4028688331
Maximum472.9026862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:12.407598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.4028688331
5-th percentile6.786082906
Q126.56368927
median44.74234898
Q380.45404305
95-th percentile205.0777827
Maximum472.9026862
Range472.4998174
Interquartile range (IQR)53.89035378

Descriptive statistics

Standard deviation62.61861058
Coefficient of variation (CV)0.9469022653
Kurtosis2.546854334
Mean66.12996175
Median Absolute Deviation (MAD)23.79660945
Skewness1.675345712
Sum3439022.531
Variance3921.090391
MonotonicityNot monotonic
2025-11-23T20:17:12.665441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94.869308881
 
< 0.1%
33.445374061
 
< 0.1%
109.64739541
 
< 0.1%
44.548030981
 
< 0.1%
16.826598991
 
< 0.1%
17.081758991
 
< 0.1%
75.399888561
 
< 0.1%
14.997859651
 
< 0.1%
14.829175951
 
< 0.1%
43.026098831
 
< 0.1%
Other values (51994)51994
> 99.9%
ValueCountFrequency (%)
0.40286883311
< 0.1%
0.46785282271
< 0.1%
0.4756187411
< 0.1%
0.47700070271
< 0.1%
0.47732599961
< 0.1%
ValueCountFrequency (%)
472.90268621
< 0.1%
429.00059261
< 0.1%
426.21974121
< 0.1%
415.74178431
< 0.1%
411.40996571
< 0.1%

usage_app_facebook_daily_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50681
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.53843001
Minimum0
Maximum471.6520177
Zeros1224
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:12.928283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.957298029
Q129.72214201
median53.44595482
Q379.18775828
95-th percentile194.9875241
Maximum471.6520177
Range471.6520177
Interquartile range (IQR)49.46561627

Descriptive statistics

Standard deviation57.58019693
Coefficient of variation (CV)0.8525545667
Kurtosis3.130434763
Mean67.53843001
Median Absolute Deviation (MAD)24.38393494
Skewness1.694668382
Sum3512268.514
Variance3315.479079
MonotonicityNot monotonic
2025-11-23T20:17:13.195119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01224
 
2.4%
6.2191690993
 
< 0.1%
0.67349832963
 
< 0.1%
5.7354262513
 
< 0.1%
35.914565692
 
< 0.1%
16.166632522
 
< 0.1%
1.170604242
 
< 0.1%
38.515017572
 
< 0.1%
21.685577172
 
< 0.1%
25.686477962
 
< 0.1%
Other values (50671)50759
97.6%
ValueCountFrequency (%)
01224
2.4%
0.01336306211
 
< 0.1%
0.026726124191
 
< 0.1%
0.050779635961
 
< 0.1%
0.053452248381
 
< 0.1%
ValueCountFrequency (%)
471.65201771
< 0.1%
420.1645031
< 0.1%
417.41473851
< 0.1%
407.40757781
< 0.1%
401.93181581
< 0.1%
Distinct49359
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1866.861963
Minimum120.09
Maximum9504.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:13.463958image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum120.09
5-th percentile880.5605
Q11244.125
median1652.99
Q32144.77
95-th percentile3874.524
Maximum9504.2
Range9384.11
Interquartile range (IQR)900.645

Descriptive statistics

Standard deviation942.1925287
Coefficient of variation (CV)0.5046931951
Kurtosis5.468583049
Mean1866.861963
Median Absolute Deviation (MAD)441.845
Skewness1.99606042
Sum97084289.5
Variance887726.7612
MonotonicityNot monotonic
2025-11-23T20:17:13.742789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2173.635
 
< 0.1%
1196.594
 
< 0.1%
1117.654
 
< 0.1%
2010.274
 
< 0.1%
1316.354
 
< 0.1%
1267.444
 
< 0.1%
1261.234
 
< 0.1%
1063.684
 
< 0.1%
1646.964
 
< 0.1%
1617.473
 
< 0.1%
Other values (49349)51964
99.9%
ValueCountFrequency (%)
120.091
< 0.1%
209.051
< 0.1%
217.071
< 0.1%
261.871
< 0.1%
263.361
< 0.1%
ValueCountFrequency (%)
9504.21
< 0.1%
9430.021
< 0.1%
8938.341
< 0.1%
88051
< 0.1%
8752.871
< 0.1%

usage_app_youtube_daily_total_w3_4
Real number (ℝ)

Zeros 

Distinct48358
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1311.873661
Minimum0
Maximum10006.96
Zeros1319
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:14.028613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile74.59
Q1476.1725
median1086.295
Q31846.8525
95-th percentile3436.2785
Maximum10006.96
Range10006.96
Interquartile range (IQR)1370.68

Descriptive statistics

Standard deviation1087.671342
Coefficient of variation (CV)0.8290976288
Kurtosis2.50948883
Mean1311.873661
Median Absolute Deviation (MAD)668.76
Skewness1.363268754
Sum68222677.88
Variance1183028.948
MonotonicityNot monotonic
2025-11-23T20:17:14.580277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01319
 
2.5%
230.824
 
< 0.1%
244.044
 
< 0.1%
694.44
 
< 0.1%
159.654
 
< 0.1%
1491.054
 
< 0.1%
654.794
 
< 0.1%
295.244
 
< 0.1%
174.474
 
< 0.1%
63.924
 
< 0.1%
Other values (48348)50649
97.4%
ValueCountFrequency (%)
01319
2.5%
0.081
 
< 0.1%
0.11
 
< 0.1%
0.141
 
< 0.1%
0.231
 
< 0.1%
ValueCountFrequency (%)
10006.961
< 0.1%
9617.621
< 0.1%
8908.541
< 0.1%
8608.121
< 0.1%
8272.351
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.87833628
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:14.792151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q19
median11
Q314
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.745452958
Coefficient of variation (CV)0.2523780187
Kurtosis-1.144938862
Mean10.87833628
Median Absolute Deviation (MAD)3
Skewness-0.2754240723
Sum565717
Variance7.537511945
MonotonicityNot monotonic
2025-11-23T20:17:14.987031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416309
31.4%
87379
14.2%
96467
 
12.4%
105445
 
10.5%
134118
 
7.9%
113461
 
6.7%
123252
 
6.3%
73077
 
5.9%
61484
 
2.9%
5677
 
1.3%
Other values (4)335
 
0.6%
ValueCountFrequency (%)
11
 
< 0.1%
212
 
< 0.1%
364
 
0.1%
4258
 
0.5%
5677
1.3%
ValueCountFrequency (%)
1416309
31.4%
134118
 
7.9%
123252
 
6.3%
113461
 
6.7%
105445
 
10.5%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.173448196
Minimum0
Maximum14
Zeros1319
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:15.159928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.369773535
Coefficient of variation (CV)0.4697564466
Kurtosis-0.3717483866
Mean7.173448196
Median Absolute Deviation (MAD)2
Skewness-0.04923653998
Sum373048
Variance11.35537368
MonotonicityNot monotonic
2025-11-23T20:17:15.365802image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86913
13.3%
96526
12.5%
75955
11.5%
65720
11.0%
54044
7.8%
103897
7.5%
43245
6.2%
112711
 
5.2%
32623
 
5.0%
142619
 
5.0%
Other values (5)7751
14.9%
ValueCountFrequency (%)
01319
2.5%
12043
3.9%
21926
3.7%
32623
5.0%
43245
6.2%
ValueCountFrequency (%)
142619
5.0%
131028
 
2.0%
121435
 
2.8%
112711
5.2%
103897
7.5%
Distinct49133
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.347283
Minimum8.577857143
Maximum678.8714286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:15.609654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8.577857143
5-th percentile62.89717857
Q188.86607143
median118.0707143
Q3153.1978571
95-th percentile276.7517143
Maximum678.8714286
Range670.2935714
Interquartile range (IQR)64.33178571

Descriptive statistics

Standard deviation67.29946634
Coefficient of variation (CV)0.5046931951
Kurtosis5.468583049
Mean133.347283
Median Absolute Deviation (MAD)31.56035714
Skewness1.99606042
Sum6934592.107
Variance4529.218169
MonotonicityNot monotonic
2025-11-23T20:17:15.887485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
155.25928575
 
< 0.1%
75.977142864
 
< 0.1%
90.531428574
 
< 0.1%
94.0254
 
< 0.1%
129.11214294
 
< 0.1%
135.80285714
 
< 0.1%
90.087857144
 
< 0.1%
143.59071434
 
< 0.1%
79.832142864
 
< 0.1%
117.644
 
< 0.1%
Other values (49123)51963
99.9%
ValueCountFrequency (%)
8.5778571431
< 0.1%
14.932142861
< 0.1%
15.5051
< 0.1%
18.7051
< 0.1%
18.811428571
< 0.1%
ValueCountFrequency (%)
678.87142861
< 0.1%
673.57285711
< 0.1%
638.45285711
< 0.1%
628.92857141
< 0.1%
625.2051
< 0.1%
Distinct48200
Distinct (%)92.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.70526152
Minimum0
Maximum714.7828571
Zeros1319
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:16.161319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.327857143
Q134.01232143
median77.5925
Q3131.9180357
95-th percentile245.4484643
Maximum714.7828571
Range714.7828571
Interquartile range (IQR)97.90571429

Descriptive statistics

Standard deviation77.69081013
Coefficient of variation (CV)0.8290976288
Kurtosis2.50948883
Mean93.70526152
Median Absolute Deviation (MAD)47.76857143
Skewness1.363268754
Sum4873048.42
Variance6035.861978
MonotonicityNot monotonic
2025-11-23T20:17:16.450143image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01319
 
2.5%
21.088571434
 
< 0.1%
16.487142864
 
< 0.1%
49.64
 
< 0.1%
12.462142864
 
< 0.1%
106.50357144
 
< 0.1%
46.770714294
 
< 0.1%
17.431428574
 
< 0.1%
11.403571434
 
< 0.1%
4.5657142864
 
< 0.1%
Other values (48190)50649
97.4%
ValueCountFrequency (%)
01319
2.5%
0.0057142857141
 
< 0.1%
0.0071428571431
 
< 0.1%
0.011
 
< 0.1%
0.016428571431
 
< 0.1%
ValueCountFrequency (%)
714.78285711
< 0.1%
686.97285711
< 0.1%
636.32428571
< 0.1%
614.86571431
< 0.1%
590.88214291
< 0.1%

usage_app_youtube_daily_median_w1_2
Real number (ℝ)

Zeros 

Distinct29417
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.8030355
Minimum0
Maximum662.285
Zeros2496
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:16.719977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.41225
Q181.49
median114.42
Q3139.26
95-th percentile202.847
Maximum662.285
Range662.285
Interquartile range (IQR)57.77

Descriptive statistics

Standard deviation61.87446278
Coefficient of variation (CV)0.5534238179
Kurtosis6.648579764
Mean111.8030355
Median Absolute Deviation (MAD)28.5675
Skewness1.349518493
Sum5814205.06
Variance3828.449145
MonotonicityNot monotonic
2025-11-23T20:17:16.998809image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02496
 
4.8%
132.30510
 
< 0.1%
119.6959
 
< 0.1%
123.389
 
< 0.1%
119.789
 
< 0.1%
102.4859
 
< 0.1%
113.4659
 
< 0.1%
139.139
 
< 0.1%
123.5058
 
< 0.1%
124.9658
 
< 0.1%
Other values (29407)49428
95.0%
ValueCountFrequency (%)
02496
4.8%
0.011
 
< 0.1%
0.0252
 
< 0.1%
0.052
 
< 0.1%
0.12
 
< 0.1%
ValueCountFrequency (%)
662.2851
< 0.1%
656.691
< 0.1%
656.231
< 0.1%
650.7651
< 0.1%
635.191
< 0.1%

usage_app_youtube_daily_median_w3_4
Real number (ℝ)

Zeros 

Distinct24114
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.37902488
Minimum0
Maximum709.08
Zeros20920
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:17.270645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median21.5925
Q3110.45875
95-th percentile211.89625
Maximum709.08
Range709.08
Interquartile range (IQR)110.45875

Descriptive statistics

Standard deviation78.34848032
Coefficient of variation (CV)1.276469942
Kurtosis1.952832835
Mean61.37902488
Median Absolute Deviation (MAD)21.5925
Skewness1.36829369
Sum3191954.81
Variance6138.484369
MonotonicityNot monotonic
2025-11-23T20:17:17.545477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020920
40.2%
0.3857
 
< 0.1%
21.357
 
< 0.1%
0.2756
 
< 0.1%
0.3756
 
< 0.1%
13.196
 
< 0.1%
0.866
 
< 0.1%
35.865
 
< 0.1%
3.235
 
< 0.1%
59.3055
 
< 0.1%
Other values (24104)31031
59.7%
ValueCountFrequency (%)
020920
40.2%
0.012
 
< 0.1%
0.0154
 
< 0.1%
0.031
 
< 0.1%
0.041
 
< 0.1%
ValueCountFrequency (%)
709.081
< 0.1%
652.91
< 0.1%
642.831
< 0.1%
631.541
< 0.1%
615.2451
< 0.1%

usage_app_youtube_daily_std_dev_w1_2
Real number (ℝ)

Unique 

Distinct52004
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.8271591
Minimum0.6671145016
Maximum707.5192832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:17.813316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.6671145016
5-th percentile10.90743452
Q141.51702893
median70.64990481
Q3124.1881314
95-th percentile329.8790541
Maximum707.5192832
Range706.8521687
Interquartile range (IQR)82.67110247

Descriptive statistics

Standard deviation100.2367583
Coefficient of variation (CV)0.9562098135
Kurtosis2.568382925
Mean104.8271591
Median Absolute Deviation (MAD)37.04446542
Skewness1.697883942
Sum5451431.582
Variance10047.40771
MonotonicityNot monotonic
2025-11-23T20:17:18.089148image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
323.50405481
 
< 0.1%
70.911057661
 
< 0.1%
539.84556491
 
< 0.1%
46.711083581
 
< 0.1%
239.28785251
 
< 0.1%
84.289284271
 
< 0.1%
140.03378721
 
< 0.1%
110.97593741
 
< 0.1%
83.919305361
 
< 0.1%
68.873141561
 
< 0.1%
Other values (51994)51994
> 99.9%
ValueCountFrequency (%)
0.66711450161
< 0.1%
0.70062805421
< 0.1%
0.72227395791
< 0.1%
0.75174412591
< 0.1%
0.76483891861
< 0.1%
ValueCountFrequency (%)
707.51928321
< 0.1%
666.59849761
< 0.1%
664.48546741
< 0.1%
655.18409651
< 0.1%
652.39552411
< 0.1%

usage_app_youtube_daily_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50632
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.5047482
Minimum0
Maximum665.9306439
Zeros1319
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:18.360981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.47147193
Q146.98219708
median84.57156751
Q3124.3590733
95-th percentile310.3490593
Maximum665.9306439
Range665.9306439
Interquartile range (IQR)77.37687618

Descriptive statistics

Standard deviation90.76494098
Coefficient of variation (CV)0.8522149714
Kurtosis2.947772608
Mean106.5047482
Median Absolute Deviation (MAD)38.47750408
Skewness1.670543456
Sum5538672.927
Variance8238.274511
MonotonicityNot monotonic
2025-11-23T20:17:18.636815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01319
 
2.5%
44.776948472
 
< 0.1%
40.075823222
 
< 0.1%
28.941719892
 
< 0.1%
31.84952222
 
< 0.1%
48.350231272
 
< 0.1%
38.095417422
 
< 0.1%
24.494492822
 
< 0.1%
17.489575672
 
< 0.1%
64.655839642
 
< 0.1%
Other values (50622)50667
97.4%
ValueCountFrequency (%)
01319
2.5%
0.021380899351
 
< 0.1%
0.026726124191
 
< 0.1%
0.037416573871
 
< 0.1%
0.061470085641
 
< 0.1%
ValueCountFrequency (%)
665.93064391
< 0.1%
659.59966291
< 0.1%
625.7173451
< 0.1%
619.51556951
< 0.1%
614.31367131
< 0.1%
Distinct47265
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1012.484046
Minimum0
Maximum4924.22
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:18.907650image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile480.0515
Q1675.1925
median897.605
Q31163.3975
95-th percentile2099.071
Maximum4924.22
Range4924.22
Interquartile range (IQR)488.205

Descriptive statistics

Standard deviation509.9527133
Coefficient of variation (CV)0.5036649369
Kurtosis5.321840975
Mean1012.484046
Median Absolute Deviation (MAD)240.61
Skewness1.982975957
Sum52653220.35
Variance260051.7699
MonotonicityNot monotonic
2025-11-23T20:17:19.190478image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
646.445
 
< 0.1%
1176.245
 
< 0.1%
1087.945
 
< 0.1%
1028.654
 
< 0.1%
562.914
 
< 0.1%
748.724
 
< 0.1%
709.714
 
< 0.1%
1177.234
 
< 0.1%
560.484
 
< 0.1%
673.924
 
< 0.1%
Other values (47255)51961
99.9%
ValueCountFrequency (%)
02
< 0.1%
85.431
< 0.1%
89.071
< 0.1%
115.961
< 0.1%
117.561
< 0.1%
ValueCountFrequency (%)
4924.221
< 0.1%
4871.181
< 0.1%
4870.511
< 0.1%
4748.891
< 0.1%
4688.621
< 0.1%

usage_app_tiktok_daily_total_w3_4
Real number (ℝ)

Zeros 

Distinct46737
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean713.5268295
Minimum0
Maximum4718.59
Zeros1280
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:19.473307image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43.4215
Q1257.085
median592.795
Q31002.4925
95-th percentile1859.024
Maximum4718.59
Range4718.59
Interquartile range (IQR)745.4075

Descriptive statistics

Standard deviation591.3313601
Coefficient of variation (CV)0.8287443942
Kurtosis2.612510401
Mean713.5268295
Median Absolute Deviation (MAD)363.67
Skewness1.38366948
Sum37106249.24
Variance349672.7774
MonotonicityNot monotonic
2025-11-23T20:17:20.001985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01280
 
2.5%
112.215
 
< 0.1%
60.924
 
< 0.1%
619.234
 
< 0.1%
74.474
 
< 0.1%
171.54
 
< 0.1%
303.354
 
< 0.1%
804
 
< 0.1%
1059.44
 
< 0.1%
327.994
 
< 0.1%
Other values (46727)50687
97.5%
ValueCountFrequency (%)
01280
2.5%
0.011
 
< 0.1%
0.071
 
< 0.1%
0.161
 
< 0.1%
0.171
 
< 0.1%
ValueCountFrequency (%)
4718.591
< 0.1%
4697.51
< 0.1%
4628.971
< 0.1%
4505.521
< 0.1%
4441.421
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.87687486
Minimum0
Maximum14
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:20.187870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q19
median11
Q314
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.74219196
Coefficient of variation (CV)0.2521121183
Kurtosis-1.119511642
Mean10.87687486
Median Absolute Deviation (MAD)3
Skewness-0.2833294057
Sum565641
Variance7.519616747
MonotonicityNot monotonic
2025-11-23T20:17:20.371758image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416222
31.2%
87273
14.0%
96353
 
12.2%
105593
 
10.8%
134052
 
7.8%
113568
 
6.9%
123347
 
6.4%
73067
 
5.9%
61491
 
2.9%
5686
 
1.3%
Other values (4)352
 
0.7%
ValueCountFrequency (%)
02
 
< 0.1%
28
 
< 0.1%
375
 
0.1%
4267
 
0.5%
5686
1.3%
ValueCountFrequency (%)
1416222
31.2%
134052
 
7.8%
123347
 
6.4%
113568
 
6.9%
105593
 
10.8%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.182889778
Minimum0
Maximum14
Zeros1280
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:20.544653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile13
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.364559562
Coefficient of variation (CV)0.4684130853
Kurtosis-0.375051155
Mean7.182889778
Median Absolute Deviation (MAD)2
Skewness-0.04816521213
Sum373539
Variance11.32026105
MonotonicityNot monotonic
2025-11-23T20:17:20.731542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86813
13.1%
96541
12.6%
76003
11.5%
65646
10.9%
54115
7.9%
104001
7.7%
43283
6.3%
112688
 
5.2%
142598
 
5.0%
32547
 
4.9%
Other values (5)7769
14.9%
ValueCountFrequency (%)
01280
 
2.5%
12004
3.9%
21992
3.8%
32547
4.9%
43283
6.3%
ValueCountFrequency (%)
142598
5.0%
131067
 
2.1%
121426
 
2.7%
112688
5.2%
104001
7.7%
Distinct46902
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.32028903
Minimum0
Maximum351.73
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:20.985386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.28939286
Q148.22803571
median64.11464286
Q383.09982143
95-th percentile149.9336429
Maximum351.73
Range351.73
Interquartile range (IQR)34.87178571

Descriptive statistics

Standard deviation36.42519381
Coefficient of variation (CV)0.5036649369
Kurtosis5.321840975
Mean72.32028903
Median Absolute Deviation (MAD)17.18642857
Skewness1.982975957
Sum3760944.311
Variance1326.794744
MonotonicityNot monotonic
2025-11-23T20:17:21.272214image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.461428575
 
< 0.1%
84.017142865
 
< 0.1%
46.174285715
 
< 0.1%
77.715
 
< 0.1%
73.4754
 
< 0.1%
75.9054
 
< 0.1%
84.087857144
 
< 0.1%
53.484
 
< 0.1%
84.473571434
 
< 0.1%
36.813571434
 
< 0.1%
Other values (46892)51960
99.9%
ValueCountFrequency (%)
02
< 0.1%
6.1021428571
< 0.1%
6.3621428571
< 0.1%
8.2828571431
< 0.1%
8.3971428571
< 0.1%
ValueCountFrequency (%)
351.731
< 0.1%
347.94142861
< 0.1%
347.89357141
< 0.1%
339.20642861
< 0.1%
334.90142861
< 0.1%

usage_app_tiktok_daily_avg_daily_w3_4
Real number (ℝ)

Zeros 

Distinct46430
Distinct (%)89.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.96620211
Minimum0
Maximum337.0421429
Zeros1280
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:21.540051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.101535714
Q118.36321429
median42.3425
Q371.60660714
95-th percentile132.7874286
Maximum337.0421429
Range337.0421429
Interquartile range (IQR)53.24339286

Descriptive statistics

Standard deviation42.23795429
Coefficient of variation (CV)0.8287443942
Kurtosis2.612510401
Mean50.96620211
Median Absolute Deviation (MAD)25.97642857
Skewness1.38366948
Sum2650446.374
Variance1784.044783
MonotonicityNot monotonic
2025-11-23T20:17:21.815883image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01280
 
2.5%
8.0155
 
< 0.1%
7.7942857144
 
< 0.1%
5.7142857144
 
< 0.1%
6.2014285714
 
< 0.1%
12.710714294
 
< 0.1%
21.667857144
 
< 0.1%
12.254
 
< 0.1%
44.230714294
 
< 0.1%
8.3864285714
 
< 0.1%
Other values (46420)50687
97.5%
ValueCountFrequency (%)
01280
2.5%
0.00071428571431
 
< 0.1%
0.0051
 
< 0.1%
0.011428571431
 
< 0.1%
0.012142857141
 
< 0.1%
ValueCountFrequency (%)
337.04214291
< 0.1%
335.53571431
< 0.1%
330.64071431
< 0.1%
321.82285711
< 0.1%
317.24428571
< 0.1%

usage_app_tiktok_daily_median_w1_2
Real number (ℝ)

Zeros 

Distinct22221
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.63353617
Minimum0
Maximum454.105
Zeros2529
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:22.087716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.53075
Q144.155
median61.865
Q375.42
95-th percentile110.98825
Maximum454.105
Range454.105
Interquartile range (IQR)31.265

Descriptive statistics

Standard deviation33.68778752
Coefficient of variation (CV)0.5555966161
Kurtosis6.609095352
Mean60.63353617
Median Absolute Deviation (MAD)15.565
Skewness1.35360291
Sum3153186.415
Variance1134.867028
MonotonicityNot monotonic
2025-11-23T20:17:22.357554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02529
 
4.9%
69.415
 
< 0.1%
66.6213
 
< 0.1%
66.9213
 
< 0.1%
65.55513
 
< 0.1%
64.4713
 
< 0.1%
64.37513
 
< 0.1%
69.0712
 
< 0.1%
65.3212
 
< 0.1%
67.1512
 
< 0.1%
Other values (22211)49359
94.9%
ValueCountFrequency (%)
02529
4.9%
0.011
 
< 0.1%
0.021
 
< 0.1%
0.0452
 
< 0.1%
0.051
 
< 0.1%
ValueCountFrequency (%)
454.1051
< 0.1%
386.891
< 0.1%
352.821
< 0.1%
344.471
< 0.1%
340.3351
< 0.1%

usage_app_tiktok_daily_median_w3_4
Real number (ℝ)

Zeros 

Distinct20098
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.23110818
Minimum0
Maximum419.175
Zeros20867
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:22.610399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median11.87
Q359.56375
95-th percentile115.26925
Maximum419.175
Range419.175
Interquartile range (IQR)59.56375

Descriptive statistics

Standard deviation42.45509123
Coefficient of variation (CV)1.277570733
Kurtosis2.084968506
Mean33.23110818
Median Absolute Deviation (MAD)11.87
Skewness1.383999485
Sum1728150.55
Variance1802.434771
MonotonicityNot monotonic
2025-11-23T20:17:22.875237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020867
40.1%
0.548
 
< 0.1%
13.1958
 
< 0.1%
8.517
 
< 0.1%
7.6457
 
< 0.1%
13.27
 
< 0.1%
1.2757
 
< 0.1%
5.8857
 
< 0.1%
11.6757
 
< 0.1%
55.0557
 
< 0.1%
Other values (20088)31072
59.7%
ValueCountFrequency (%)
020867
40.1%
0.0054
 
< 0.1%
0.013
 
< 0.1%
0.0156
 
< 0.1%
0.024
 
< 0.1%
ValueCountFrequency (%)
419.1751
< 0.1%
393.641
< 0.1%
368.421
< 0.1%
328.091
< 0.1%
322.0951
< 0.1%
Distinct52002
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.07779656
Minimum0
Maximum368.4988137
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:23.136081image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.893240904
Q122.64168246
median38.58596356
Q368.56907907
95-th percentile178.9932877
Maximum368.4988137
Range368.4988137
Interquartile range (IQR)45.92739661

Descriptive statistics

Standard deviation54.33248093
Coefficient of variation (CV)0.9519022143
Kurtosis2.585206134
Mean57.07779656
Median Absolute Deviation (MAD)20.55931728
Skewness1.69461604
Sum2968273.732
Variance2952.018484
MonotonicityNot monotonic
2025-11-23T20:17:23.433897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.8235813252
 
< 0.1%
02
 
< 0.1%
125.2993111
 
< 0.1%
178.49338461
 
< 0.1%
47.282469261
 
< 0.1%
33.205579571
 
< 0.1%
48.124959371
 
< 0.1%
14.449051851
 
< 0.1%
62.768216261
 
< 0.1%
47.082611031
 
< 0.1%
Other values (51992)51992
> 99.9%
ValueCountFrequency (%)
02
< 0.1%
0.40406995371
< 0.1%
0.41837007121
< 0.1%
0.43548697011
< 0.1%
0.43866242751
< 0.1%
ValueCountFrequency (%)
368.49881371
< 0.1%
367.77331591
< 0.1%
343.52701691
< 0.1%
342.89989991
< 0.1%
342.71828091
< 0.1%

usage_app_tiktok_daily_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50618
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.04753711
Minimum0
Maximum354.325261
Zeros1280
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:23.718724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.984237166
Q125.63038219
median46.01546269
Q368.30680372
95-th percentile167.3103279
Maximum354.325261
Range354.325261
Interquartile range (IQR)42.67642153

Descriptive statistics

Standard deviation49.34371766
Coefficient of variation (CV)0.8500570414
Kurtosis3.060156077
Mean58.04753711
Median Absolute Deviation (MAD)21.07171515
Skewness1.682020722
Sum3018704.12
Variance2434.802472
MonotonicityNot monotonic
2025-11-23T20:17:23.991561image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01280
 
2.5%
17.446813873
 
< 0.1%
7.9643850093
 
< 0.1%
21.335464943
 
< 0.1%
3.7844191852
 
< 0.1%
19.662409572
 
< 0.1%
5.0672731472
 
< 0.1%
23.412084792
 
< 0.1%
27.493163962
 
< 0.1%
12.684218542
 
< 0.1%
Other values (50608)50703
97.5%
ValueCountFrequency (%)
01280
2.5%
0.0026726124191
 
< 0.1%
0.018708286931
 
< 0.1%
0.042761798711
 
< 0.1%
0.045434411131
 
< 0.1%
ValueCountFrequency (%)
354.3252611
< 0.1%
339.33813811
< 0.1%
335.22381261
< 0.1%
330.36770751
< 0.1%
327.4913051
< 0.1%
Distinct32052
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.851283
Minimum19.39
Maximum770.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:24.265394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19.39
5-th percentile73.38
Q1103.9
median138.08
Q3179.32
95-th percentile321.8185
Maximum770.68
Range751.29
Interquartile range (IQR)75.42

Descriptive statistics

Standard deviation78.41453062
Coefficient of variation (CV)0.5031368952
Kurtosis5.351149408
Mean155.851283
Median Absolute Deviation (MAD)37.155
Skewness1.973732852
Sum8104890.12
Variance6148.838613
MonotonicityNot monotonic
2025-11-23T20:17:24.545222image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.5210
 
< 0.1%
95.259
 
< 0.1%
95.729
 
< 0.1%
181.489
 
< 0.1%
143.288
 
< 0.1%
129.258
 
< 0.1%
90.258
 
< 0.1%
101.268
 
< 0.1%
98.228
 
< 0.1%
96.928
 
< 0.1%
Other values (32042)51919
99.8%
ValueCountFrequency (%)
19.391
< 0.1%
21.271
< 0.1%
23.451
< 0.1%
25.141
< 0.1%
25.361
< 0.1%
ValueCountFrequency (%)
770.681
< 0.1%
733.981
< 0.1%
728.321
< 0.1%
709.481
< 0.1%
703.421
< 0.1%

usage_app_whatsapp_daily_total_w3_4
Real number (ℝ)

Zeros 

Distinct32700
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.2410359
Minimum0
Maximum737.14
Zeros1256
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:24.971963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.5915
Q140.09
median91.86
Q3154.7325
95-th percentile285.97
Maximum737.14
Range737.14
Interquartile range (IQR)114.6425

Descriptive statistics

Standard deviation90.64409119
Coefficient of variation (CV)0.8222354812
Kurtosis2.465328814
Mean110.2410359
Median Absolute Deviation (MAD)56.33
Skewness1.346064338
Sum5732974.83
Variance8216.351268
MonotonicityNot monotonic
2025-11-23T20:17:25.270782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01256
 
2.4%
9.9510
 
< 0.1%
21.649
 
< 0.1%
19.869
 
< 0.1%
8.338
 
< 0.1%
17.988
 
< 0.1%
19.278
 
< 0.1%
65.118
 
< 0.1%
10.398
 
< 0.1%
10.838
 
< 0.1%
Other values (32690)50672
97.4%
ValueCountFrequency (%)
01256
2.4%
0.012
 
< 0.1%
0.021
 
< 0.1%
0.032
 
< 0.1%
0.044
 
< 0.1%
ValueCountFrequency (%)
737.141
< 0.1%
731.451
< 0.1%
705.711
< 0.1%
695.431
< 0.1%
694.011
< 0.1%
Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.87412507
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:25.485653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q19
median11
Q314
95-th percentile14
Maximum14
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.74761916
Coefficient of variation (CV)0.252674964
Kurtosis-1.149026141
Mean10.87412507
Median Absolute Deviation (MAD)3
Skewness-0.2725400145
Sum565498
Variance7.549411047
MonotonicityNot monotonic
2025-11-23T20:17:25.688529image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1416302
31.3%
87275
14.0%
96472
 
12.4%
105402
 
10.4%
134138
 
8.0%
113525
 
6.8%
73257
 
6.3%
123174
 
6.1%
61494
 
2.9%
5629
 
1.2%
Other values (3)336
 
0.6%
ValueCountFrequency (%)
216
 
< 0.1%
375
 
0.1%
4245
 
0.5%
5629
1.2%
61494
2.9%
ValueCountFrequency (%)
1416302
31.3%
134138
 
8.0%
123174
 
6.1%
113525
 
6.8%
105402
 
10.4%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.204657334
Minimum0
Maximum14
Zeros1256
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:25.874416image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.37021101
Coefficient of variation (CV)0.4677822766
Kurtosis-0.3702883095
Mean7.204657334
Median Absolute Deviation (MAD)2
Skewness-0.04529884875
Sum374671
Variance11.35832225
MonotonicityNot monotonic
2025-11-23T20:17:26.080292image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86847
13.2%
96473
12.4%
76086
11.7%
65613
10.8%
54145
8.0%
103959
7.6%
43234
6.2%
112733
 
5.3%
142707
 
5.2%
32454
 
4.7%
Other values (5)7753
14.9%
ValueCountFrequency (%)
01256
 
2.4%
12016
3.9%
22004
3.9%
32454
4.7%
43234
6.2%
ValueCountFrequency (%)
142707
5.2%
131036
 
2.0%
121441
 
2.8%
112733
5.3%
103959
7.6%
Distinct31255
Distinct (%)60.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.1322345
Minimum1.385
Maximum55.04857143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:26.619961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.385
5-th percentile5.241428571
Q17.421428571
median9.862857143
Q312.80857143
95-th percentile22.98703571
Maximum55.04857143
Range53.66357143
Interquartile range (IQR)5.387142857

Descriptive statistics

Standard deviation5.601037902
Coefficient of variation (CV)0.5031368952
Kurtosis5.351149408
Mean11.1322345
Median Absolute Deviation (MAD)2.653928571
Skewness1.973732852
Sum578920.7229
Variance31.37162558
MonotonicityNot monotonic
2025-11-23T20:17:26.908785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.04928571411
 
< 0.1%
9.09571428610
 
< 0.1%
9.25142857110
 
< 0.1%
6.8035714299
 
< 0.1%
8.8378571439
 
< 0.1%
8.6964285719
 
< 0.1%
12.962857149
 
< 0.1%
8.4757142869
 
< 0.1%
8.0278571439
 
< 0.1%
6.8371428579
 
< 0.1%
Other values (31245)51910
99.8%
ValueCountFrequency (%)
1.3851
< 0.1%
1.5192857141
< 0.1%
1.6751
< 0.1%
1.7957142861
< 0.1%
1.8114285711
< 0.1%
ValueCountFrequency (%)
55.048571431
< 0.1%
52.427142861
< 0.1%
52.022857141
< 0.1%
50.677142861
< 0.1%
50.244285711
< 0.1%
Distinct31926
Distinct (%)61.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.874359706
Minimum0
Maximum52.65285714
Zeros1256
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:27.213606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4708214286
Q12.863571429
median6.561428571
Q311.05232143
95-th percentile20.42642857
Maximum52.65285714
Range52.65285714
Interquartile range (IQR)8.18875

Descriptive statistics

Standard deviation6.474577942
Coefficient of variation (CV)0.8222354812
Kurtosis2.465328814
Mean7.874359706
Median Absolute Deviation (MAD)4.023571429
Skewness1.346064338
Sum409498.2021
Variance41.92015953
MonotonicityNot monotonic
2025-11-23T20:17:27.509421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01256
 
2.4%
0.710714285710
 
< 0.1%
1.4185714299
 
< 0.1%
1.5457142869
 
< 0.1%
1.0135714298
 
< 0.1%
0.71428571438
 
< 0.1%
0.74214285718
 
< 0.1%
2.1664285718
 
< 0.1%
1.1914285718
 
< 0.1%
0.5958
 
< 0.1%
Other values (31916)50672
97.4%
ValueCountFrequency (%)
01256
2.4%
0.00071428571432
 
< 0.1%
0.0014285714291
 
< 0.1%
0.0021428571432
 
< 0.1%
0.0028571428574
 
< 0.1%
ValueCountFrequency (%)
52.652857141
< 0.1%
52.246428571
< 0.1%
50.407857141
< 0.1%
49.673571431
< 0.1%
49.572142861
< 0.1%

usage_app_whatsapp_daily_median_w1_2
Real number (ℝ)

Zeros 

Distinct6764
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.312779113
Minimum0
Maximum59.64
Zeros2459
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:27.796248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.165
Q16.775
median9.54
Q311.6
95-th percentile16.86
Maximum59.64
Range59.64
Interquartile range (IQR)4.825

Descriptive statistics

Standard deviation5.157804821
Coefficient of variation (CV)0.5538416361
Kurtosis6.572194534
Mean9.312779113
Median Absolute Deviation (MAD)2.405
Skewness1.33882204
Sum484301.765
Variance26.60295057
MonotonicityNot monotonic
2025-11-23T20:17:28.070082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02459
 
4.7%
10.05554
 
0.1%
10.35552
 
0.1%
10.08550
 
0.1%
10.01550
 
0.1%
9.94549
 
0.1%
10.0249
 
0.1%
10.0448
 
0.1%
10.2748
 
0.1%
10.348
 
0.1%
Other values (6754)49097
94.4%
ValueCountFrequency (%)
02459
4.7%
0.0053
 
< 0.1%
0.013
 
< 0.1%
0.0155
 
< 0.1%
0.024
 
< 0.1%
ValueCountFrequency (%)
59.641
< 0.1%
59.411
< 0.1%
58.0651
< 0.1%
53.661
< 0.1%
52.8351
< 0.1%

usage_app_whatsapp_daily_median_w3_4
Real number (ℝ)

Zeros 

Distinct6679
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.13896556
Minimum0
Maximum59.265
Zeros20722
Zeros (%)39.8%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:28.355906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.835
Q39.25125
95-th percentile17.67
Maximum59.265
Range59.265
Interquartile range (IQR)9.25125

Descriptive statistics

Standard deviation6.523707513
Coefficient of variation (CV)1.269459279
Kurtosis1.7961492
Mean5.13896556
Median Absolute Deviation (MAD)1.835
Skewness1.33824182
Sum267246.765
Variance42.55875971
MonotonicityNot monotonic
2025-11-23T20:17:28.646730image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020722
39.8%
0.1233
 
0.1%
0.1631
 
0.1%
0.05531
 
0.1%
0.5127
 
0.1%
0.13526
 
< 0.1%
0.01526
 
< 0.1%
0.0226
 
< 0.1%
0.225
 
< 0.1%
0.1425
 
< 0.1%
Other values (6669)31032
59.7%
ValueCountFrequency (%)
020722
39.8%
0.00514
 
< 0.1%
0.0115
 
< 0.1%
0.01526
 
< 0.1%
0.0226
 
< 0.1%
ValueCountFrequency (%)
59.2651
< 0.1%
57.4651
< 0.1%
55.6651
< 0.1%
55.3451
< 0.1%
51.511
< 0.1%
Distinct51987
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.776452348
Minimum0.04685727687
Maximum55.87336457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:28.920565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.04685727687
5-th percentile0.8998629918
Q13.482903631
median5.914491189
Q310.60319435
95-th percentile27.54844414
Maximum55.87336457
Range55.8265073
Interquartile range (IQR)7.120290716

Descriptive statistics

Standard deviation8.36690076
Coefficient of variation (CV)0.9533351778
Kurtosis2.504416405
Mean8.776452348
Median Absolute Deviation (MAD)3.141754842
Skewness1.683533754
Sum456410.6279
Variance70.00502832
MonotonicityNot monotonic
2025-11-23T20:17:29.195398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.1675712092
 
< 0.1%
1.1040387892
 
< 0.1%
2.0846014462
 
< 0.1%
0.86936284612
 
< 0.1%
8.16060372
 
< 0.1%
5.2383650252
 
< 0.1%
2.2003031762
 
< 0.1%
2.5418420462
 
< 0.1%
4.2033799192
 
< 0.1%
3.4701793982
 
< 0.1%
Other values (51977)51984
> 99.9%
ValueCountFrequency (%)
0.046857276871
< 0.1%
0.056295921431
< 0.1%
0.059949612541
< 0.1%
0.072324057071
< 0.1%
0.072521311761
< 0.1%
ValueCountFrequency (%)
55.873364571
< 0.1%
55.37523021
< 0.1%
52.982466561
< 0.1%
52.774742631
< 0.1%
52.737774111
< 0.1%

usage_app_whatsapp_daily_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50217
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.95384097
Minimum0
Maximum56.65095557
Zeros1256
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:29.471231image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8842804633
Q13.943041251
median7.097127282
Q310.51238464
95-th percentile25.76520676
Maximum56.65095557
Range56.65095557
Interquartile range (IQR)6.569343386

Descriptive statistics

Standard deviation7.626660691
Coefficient of variation (CV)0.8517753125
Kurtosis3.113765357
Mean8.95384097
Median Absolute Deviation (MAD)3.240817353
Skewness1.68602447
Sum465635.5458
Variance58.16595329
MonotonicityNot monotonic
2025-11-23T20:17:29.741065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01256
 
2.4%
2.5603626985
 
< 0.1%
0.096214047095
 
< 0.1%
2.8917666375
 
< 0.1%
1.4405380944
 
< 0.1%
0.037416573874
 
< 0.1%
1.082408034
 
< 0.1%
0.55857599564
 
< 0.1%
2.6458862954
 
< 0.1%
1.7505611354
 
< 0.1%
Other values (50207)50709
97.5%
ValueCountFrequency (%)
01256
2.4%
0.0026726124192
 
< 0.1%
0.0053452248381
 
< 0.1%
0.0080178372572
 
< 0.1%
0.010690449683
 
< 0.1%
ValueCountFrequency (%)
56.650955571
< 0.1%
56.039293551
< 0.1%
53.874724891
< 0.1%
53.291872771
< 0.1%
52.974321961
< 0.1%
Distinct31853
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.6416539
Minimum10.12
Maximum827.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:30.009901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10.12
5-th percentile73.31
Q1103.69
median137.975
Q3178.9825
95-th percentile323.9685
Maximum827.01
Range816.89
Interquartile range (IQR)75.2925

Descriptive statistics

Standard deviation78.53501738
Coefficient of variation (CV)0.5045886844
Kurtosis5.222898682
Mean155.6416539
Median Absolute Deviation (MAD)36.965
Skewness1.965237303
Sum8093988.57
Variance6167.748956
MonotonicityNot monotonic
2025-11-23T20:17:30.315716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.6710
 
< 0.1%
105.169
 
< 0.1%
148.929
 
< 0.1%
93.198
 
< 0.1%
96.38
 
< 0.1%
100.568
 
< 0.1%
146.258
 
< 0.1%
181.488
 
< 0.1%
128.938
 
< 0.1%
90.788
 
< 0.1%
Other values (31843)51920
99.8%
ValueCountFrequency (%)
10.121
< 0.1%
16.041
< 0.1%
18.681
< 0.1%
19.931
< 0.1%
21.541
< 0.1%
ValueCountFrequency (%)
827.011
< 0.1%
733.441
< 0.1%
711.171
< 0.1%
703.321
< 0.1%
688.331
< 0.1%

usage_app_helakuru_daily_total_w3_4
Real number (ℝ)

Zeros 

Distinct32498
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.2419425
Minimum0
Maximum771.54
Zeros1139
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:30.696484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.9815
Q140.1775
median90.78
Q3154.2025
95-th percentile289.357
Maximum771.54
Range771.54
Interquartile range (IQR)114.025

Descriptive statistics

Standard deviation91.53489525
Coefficient of variation (CV)0.8303091649
Kurtosis2.618309276
Mean110.2419425
Median Absolute Deviation (MAD)55.61
Skewness1.396254742
Sum5733021.98
Variance8378.637048
MonotonicityNot monotonic
2025-11-23T20:17:31.047271image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01139
 
2.2%
12.4411
 
< 0.1%
18.2110
 
< 0.1%
11.4310
 
< 0.1%
13.5510
 
< 0.1%
131.069
 
< 0.1%
10.429
 
< 0.1%
13.649
 
< 0.1%
7.919
 
< 0.1%
10.589
 
< 0.1%
Other values (32488)50779
97.6%
ValueCountFrequency (%)
01139
2.2%
0.015
 
< 0.1%
0.021
 
< 0.1%
0.032
 
< 0.1%
0.041
 
< 0.1%
ValueCountFrequency (%)
771.541
< 0.1%
760.921
< 0.1%
729.661
< 0.1%
724.211
< 0.1%
712.041
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.86022229
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:31.286126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q18
median11
Q314
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.746887468
Coefficient of variation (CV)0.2529310538
Kurtosis-1.142152931
Mean10.86022229
Median Absolute Deviation (MAD)3
Skewness-0.2678571036
Sum564775
Variance7.545390763
MonotonicityNot monotonic
2025-11-23T20:17:31.488008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416175
31.1%
87478
14.4%
96459
 
12.4%
105446
 
10.5%
134102
 
7.9%
113547
 
6.8%
123198
 
6.1%
73064
 
5.9%
61496
 
2.9%
5713
 
1.4%
Other values (4)326
 
0.6%
ValueCountFrequency (%)
13
 
< 0.1%
210
 
< 0.1%
373
 
0.1%
4240
 
0.5%
5713
1.4%
ValueCountFrequency (%)
1416175
31.1%
134102
 
7.9%
123198
 
6.1%
113547
 
6.8%
105446
 
10.5%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.198965464
Minimum0
Maximum14
Zeros1139
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:31.661900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.357014744
Coefficient of variation (CV)0.4663190511
Kurtosis-0.3753939558
Mean7.198965464
Median Absolute Deviation (MAD)2
Skewness-0.03969896255
Sum374375
Variance11.26954799
MonotonicityNot monotonic
2025-11-23T20:17:31.858782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86813
13.1%
96451
12.4%
76114
11.8%
65726
11.0%
54093
7.9%
103988
7.7%
43195
6.1%
112695
 
5.2%
142623
 
5.0%
32537
 
4.9%
Other values (5)7769
14.9%
ValueCountFrequency (%)
01139
 
2.2%
12096
4.0%
22003
3.9%
32537
4.9%
43195
6.1%
ValueCountFrequency (%)
142623
5.0%
131081
 
2.1%
121450
 
2.8%
112695
5.2%
103988
7.7%
Distinct30985
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.11726099
Minimum0.7228571429
Maximum59.07214286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:32.098635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.7228571429
5-th percentile5.236428571
Q17.406428571
median9.855357143
Q312.78446429
95-th percentile23.14060714
Maximum59.07214286
Range58.34928571
Interquartile range (IQR)5.378035714

Descriptive statistics

Standard deviation5.609644099
Coefficient of variation (CV)0.5045886844
Kurtosis5.222898682
Mean11.11726099
Median Absolute Deviation (MAD)2.640357143
Skewness1.965237303
Sum578142.0407
Variance31.46810692
MonotonicityNot monotonic
2025-11-23T20:17:32.403450image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.11928571410
 
< 0.1%
9.0410
 
< 0.1%
10.637142869
 
< 0.1%
7.5114285719
 
< 0.1%
8.2959
 
< 0.1%
10.868571438
 
< 0.1%
8.7621428578
 
< 0.1%
9.2085714298
 
< 0.1%
10.446428578
 
< 0.1%
7.4064285718
 
< 0.1%
Other values (30975)51917
99.8%
ValueCountFrequency (%)
0.72285714291
< 0.1%
1.1457142861
< 0.1%
1.3342857141
< 0.1%
1.4235714291
< 0.1%
1.5385714291
< 0.1%
ValueCountFrequency (%)
59.072142861
< 0.1%
52.388571431
< 0.1%
50.797857141
< 0.1%
50.237142861
< 0.1%
49.166428571
< 0.1%
Distinct31665
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.874424467
Minimum0
Maximum55.11
Zeros1139
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:32.664289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4986785714
Q12.869821429
median6.484285714
Q311.01446429
95-th percentile20.66835714
Maximum55.11
Range55.11
Interquartile range (IQR)8.144642857

Descriptive statistics

Standard deviation6.538206804
Coefficient of variation (CV)0.8303091649
Kurtosis2.618309276
Mean7.874424467
Median Absolute Deviation (MAD)3.972142857
Skewness1.396254742
Sum409501.57
Variance42.74814821
MonotonicityNot monotonic
2025-11-23T20:17:33.194969image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01139
 
2.2%
0.888571428611
 
< 0.1%
0.967857142910
 
< 0.1%
0.816428571410
 
< 0.1%
1.30071428610
 
< 0.1%
4.1428571439
 
< 0.1%
0.66214285719
 
< 0.1%
0.97428571439
 
< 0.1%
1.6357142869
 
< 0.1%
9.3614285719
 
< 0.1%
Other values (31655)50779
97.6%
ValueCountFrequency (%)
01139
2.2%
0.00071428571435
 
< 0.1%
0.0014285714291
 
< 0.1%
0.0021428571432
 
< 0.1%
0.0028571428571
 
< 0.1%
ValueCountFrequency (%)
55.111
< 0.1%
54.351428571
< 0.1%
52.118571431
< 0.1%
51.729285711
< 0.1%
50.861
< 0.1%

usage_app_helakuru_daily_median_w1_2
Real number (ℝ)

Zeros 

Distinct6758
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.314956638
Minimum0
Maximum59.82
Zeros2535
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:33.453810image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.075
Q16.805
median9.53
Q311.59
95-th percentile16.96
Maximum59.82
Range59.82
Interquartile range (IQR)4.785

Descriptive statistics

Standard deviation5.163457197
Coefficient of variation (CV)0.5543189729
Kurtosis6.89196509
Mean9.314956638
Median Absolute Deviation (MAD)2.37
Skewness1.371727728
Sum484415.005
Variance26.66129022
MonotonicityNot monotonic
2025-11-23T20:17:33.719648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02535
 
4.9%
10.3459
 
0.1%
10.1855
 
0.1%
10.03551
 
0.1%
9.5549
 
0.1%
10.3249
 
0.1%
10.6448
 
0.1%
10.0247
 
0.1%
10.0747
 
0.1%
10.2147
 
0.1%
Other values (6748)49017
94.3%
ValueCountFrequency (%)
02535
4.9%
0.0052
 
< 0.1%
0.017
 
< 0.1%
0.0155
 
< 0.1%
0.025
 
< 0.1%
ValueCountFrequency (%)
59.821
< 0.1%
57.9451
< 0.1%
57.6651
< 0.1%
55.181
< 0.1%
53.8451
< 0.1%

usage_app_helakuru_daily_median_w3_4
Real number (ℝ)

Zeros 

Distinct6695
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.133360126
Minimum0
Maximum61.625
Zeros20789
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:33.979493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.8125
Q39.235
95-th percentile17.67925
Maximum61.625
Range61.625
Interquartile range (IQR)9.235

Descriptive statistics

Standard deviation6.564330179
Coefficient of variation (CV)1.278758945
Kurtosis2.128989412
Mean5.133360126
Median Absolute Deviation (MAD)1.8125
Skewness1.3951559
Sum266955.26
Variance43.0904307
MonotonicityNot monotonic
2025-11-23T20:17:34.246327image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020789
40.0%
0.09530
 
0.1%
0.1529
 
0.1%
0.02527
 
0.1%
0.16526
 
< 0.1%
0.0425
 
< 0.1%
0.0225
 
< 0.1%
0.0824
 
< 0.1%
0.1723
 
< 0.1%
0.0123
 
< 0.1%
Other values (6685)30983
59.6%
ValueCountFrequency (%)
020789
40.0%
0.00516
 
< 0.1%
0.0123
 
< 0.1%
0.01522
 
< 0.1%
0.0225
 
< 0.1%
ValueCountFrequency (%)
61.6251
< 0.1%
52.761
< 0.1%
51.811
< 0.1%
50.621
< 0.1%
50.381
< 0.1%
Distinct51991
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.768523205
Minimum0.04565157099
Maximum60.79338318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:34.519162image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.04565157099
5-th percentile0.8930782687
Q13.513459188
median5.893809031
Q310.54025676
95-th percentile27.41420327
Maximum60.79338318
Range60.7477316
Interquartile range (IQR)7.02679757

Descriptive statistics

Standard deviation8.360924824
Coefficient of variation (CV)0.9535157322
Kurtosis2.496476386
Mean8.768523205
Median Absolute Deviation (MAD)3.120001347
Skewness1.682761961
Sum455998.2808
Variance69.90506391
MonotonicityNot monotonic
2025-11-23T20:17:34.781006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.64765680782
 
< 0.1%
3.9248717342
 
< 0.1%
1.4309744622
 
< 0.1%
1.4655541282
 
< 0.1%
1.8860167922
 
< 0.1%
5.3112470862
 
< 0.1%
7.2259629952
 
< 0.1%
3.5260120522
 
< 0.1%
3.5374136112
 
< 0.1%
1.5938854662
 
< 0.1%
Other values (51981)51984
> 99.9%
ValueCountFrequency (%)
0.045651570991
< 0.1%
0.051977383081
< 0.1%
0.052014368261
< 0.1%
0.059378650841
< 0.1%
0.063054136871
< 0.1%
ValueCountFrequency (%)
60.793383181
< 0.1%
54.108712191
< 0.1%
53.182860371
< 0.1%
52.289527961
< 0.1%
52.272703451
< 0.1%

usage_app_helakuru_daily_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50315
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.965901197
Minimum0
Maximum57.19633336
Zeros1139
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:35.043845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9324212152
Q13.952793768
median7.069412314
Q310.45776087
95-th percentile26.06459494
Maximum57.19633336
Range57.19633336
Interquartile range (IQR)6.504967104

Descriptive statistics

Standard deviation7.657523356
Coefficient of variation (CV)0.854071798
Kurtosis3.017098176
Mean8.965901197
Median Absolute Deviation (MAD)3.214672937
Skewness1.690373879
Sum466262.7258
Variance58.63766395
MonotonicityNot monotonic
2025-11-23T20:17:35.319676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01139
 
2.2%
2.8276239395
 
< 0.1%
2.4775117135
 
< 0.1%
3.3247298495
 
< 0.1%
3.060141225
 
< 0.1%
3.2124801285
 
< 0.1%
2.3786250534
 
< 0.1%
3.3888725474
 
< 0.1%
1.9429892294
 
< 0.1%
2.1915421844
 
< 0.1%
Other values (50305)50824
97.7%
ValueCountFrequency (%)
01139
2.2%
0.0026726124191
 
< 0.1%
0.0026726124194
 
< 0.1%
0.0053452248381
 
< 0.1%
0.0080178372571
 
< 0.1%
ValueCountFrequency (%)
57.196333361
< 0.1%
53.480813341
< 0.1%
50.887855681
< 0.1%
49.767880081
< 0.1%
49.013040631
< 0.1%

usage_app_other_total_w1_2
Real number (ℝ)

Distinct48900
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1558.709549
Minimum123.09
Maximum7903.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:35.593509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum123.09
5-th percentile738.773
Q11038.59
median1384.25
Q31790.7975
95-th percentile3222.1585
Maximum7903.24
Range7780.15
Interquartile range (IQR)752.2075

Descriptive statistics

Standard deviation780.5751721
Coefficient of variation (CV)0.5007829537
Kurtosis5.183169931
Mean1558.709549
Median Absolute Deviation (MAD)369.99
Skewness1.955108348
Sum81059131.41
Variance609297.5993
MonotonicityNot monotonic
2025-11-23T20:17:35.879336image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1027.94
 
< 0.1%
9904
 
< 0.1%
1396.184
 
< 0.1%
1205.164
 
< 0.1%
1721.444
 
< 0.1%
904.924
 
< 0.1%
1112.274
 
< 0.1%
1818.674
 
< 0.1%
791.64
 
< 0.1%
933.344
 
< 0.1%
Other values (48890)51964
99.9%
ValueCountFrequency (%)
123.091
< 0.1%
158.651
< 0.1%
166.051
< 0.1%
211.791
< 0.1%
230.741
< 0.1%
ValueCountFrequency (%)
7903.241
< 0.1%
7741.711
< 0.1%
7603.791
< 0.1%
73371
< 0.1%
7258.971
< 0.1%

usage_app_other_total_w3_4
Real number (ℝ)

Zeros 

Distinct48121
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1104.912579
Minimum0
Maximum8141.37
Zeros1227
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:36.154170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile66.876
Q1400.775
median916.63
Q31543.5425
95-th percentile2877.833
Maximum8141.37
Range8141.37
Interquartile range (IQR)1142.7675

Descriptive statistics

Standard deviation917.7902125
Coefficient of variation (CV)0.8306450933
Kurtosis2.672221204
Mean1104.912579
Median Absolute Deviation (MAD)558.03
Skewness1.397480857
Sum57459873.77
Variance842338.8741
MonotonicityNot monotonic
2025-11-23T20:17:36.442993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01227
 
2.4%
663.474
 
< 0.1%
259.854
 
< 0.1%
640.784
 
< 0.1%
3994
 
< 0.1%
1379.523
 
< 0.1%
609.293
 
< 0.1%
221.213
 
< 0.1%
961.973
 
< 0.1%
87.083
 
< 0.1%
Other values (48111)50746
97.6%
ValueCountFrequency (%)
01227
2.4%
0.012
 
< 0.1%
0.021
 
< 0.1%
0.11
 
< 0.1%
0.141
 
< 0.1%
ValueCountFrequency (%)
8141.371
< 0.1%
7499.931
< 0.1%
7274.981
< 0.1%
6958.981
< 0.1%
6910.931
< 0.1%
Distinct13
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.87412507
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:36.665858image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q18
median11
Q314
95-th percentile14
Maximum14
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.748234973
Coefficient of variation (CV)0.2527315951
Kurtosis-1.145275538
Mean10.87412507
Median Absolute Deviation (MAD)3
Skewness-0.2786767294
Sum565498
Variance7.552795467
MonotonicityNot monotonic
2025-11-23T20:17:36.869733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1416226
31.2%
87424
14.3%
96322
 
12.2%
105437
 
10.5%
134176
 
8.0%
113524
 
6.8%
123276
 
6.3%
73052
 
5.9%
61529
 
2.9%
5699
 
1.3%
Other values (3)339
 
0.7%
ValueCountFrequency (%)
210
 
< 0.1%
359
 
0.1%
4270
 
0.5%
5699
1.3%
61529
2.9%
ValueCountFrequency (%)
1416226
31.2%
134176
 
8.0%
123276
 
6.3%
113524
 
6.8%
105437
 
10.5%

usage_app_other_active_days_w3_4
Real number (ℝ)

Zeros 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.196350281
Minimum0
Maximum14
Zeros1227
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:37.041629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.360638062
Coefficient of variation (CV)0.4669920072
Kurtosis-0.3675591248
Mean7.196350281
Median Absolute Deviation (MAD)2
Skewness-0.04377186636
Sum374239
Variance11.29388818
MonotonicityNot monotonic
2025-11-23T20:17:37.237510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86894
13.3%
96399
12.3%
76021
11.6%
65796
11.1%
54122
7.9%
103964
7.6%
43161
6.1%
112717
 
5.2%
142638
 
5.1%
32566
 
4.9%
Other values (5)7726
14.9%
ValueCountFrequency (%)
01227
 
2.4%
12050
3.9%
21932
3.7%
32566
4.9%
43161
6.1%
ValueCountFrequency (%)
142638
5.1%
131044
 
2.0%
121473
 
2.8%
112717
5.2%
103964
7.6%
Distinct48580
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.3363964
Minimum8.792142857
Maximum564.5171429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:37.481361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8.792142857
5-th percentile52.7695
Q174.185
median98.875
Q3127.9141071
95-th percentile230.1541786
Maximum564.5171429
Range555.725
Interquartile range (IQR)53.72910714

Descriptive statistics

Standard deviation55.75536943
Coefficient of variation (CV)0.5007829537
Kurtosis5.183169931
Mean111.3363964
Median Absolute Deviation (MAD)26.42785714
Skewness1.955108348
Sum5789937.958
Variance3108.661221
MonotonicityNot monotonic
2025-11-23T20:17:37.758193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66.667142864
 
< 0.1%
129.9054
 
< 0.1%
73.421428574
 
< 0.1%
79.447857144
 
< 0.1%
67.430714294
 
< 0.1%
99.727142864
 
< 0.1%
122.964
 
< 0.1%
129.85214294
 
< 0.1%
132.79285714
 
< 0.1%
129.90142864
 
< 0.1%
Other values (48570)51964
99.9%
ValueCountFrequency (%)
8.7921428571
< 0.1%
11.332142861
< 0.1%
11.860714291
< 0.1%
15.127857141
< 0.1%
16.481428571
< 0.1%
ValueCountFrequency (%)
564.51714291
< 0.1%
552.97928571
< 0.1%
543.12785711
< 0.1%
524.07142861
< 0.1%
518.49785711
< 0.1%

usage_app_other_avg_daily_w3_4
Real number (ℝ)

Zeros 

Distinct47951
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.92232709
Minimum0
Maximum581.5264286
Zeros1227
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:38.024032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.776857143
Q128.62678571
median65.47357143
Q3110.2530357
95-th percentile205.5595
Maximum581.5264286
Range581.5264286
Interquartile range (IQR)81.62625

Descriptive statistics

Standard deviation65.55644375
Coefficient of variation (CV)0.8306450933
Kurtosis2.672221204
Mean78.92232709
Median Absolute Deviation (MAD)39.85928571
Skewness1.397480857
Sum4104276.698
Variance4297.647317
MonotonicityNot monotonic
2025-11-23T20:17:38.299865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01227
 
2.4%
8.354
 
< 0.1%
45.774
 
< 0.1%
18.560714294
 
< 0.1%
28.54
 
< 0.1%
47.390714294
 
< 0.1%
73.012857144
 
< 0.1%
22.281428573
 
< 0.1%
64.968571433
 
< 0.1%
53.863571433
 
< 0.1%
Other values (47941)50744
97.6%
ValueCountFrequency (%)
01227
2.4%
0.00071428571432
 
< 0.1%
0.0014285714291
 
< 0.1%
0.0071428571431
 
< 0.1%
0.011
 
< 0.1%
ValueCountFrequency (%)
581.52642861
< 0.1%
535.70928571
< 0.1%
519.64142861
< 0.1%
497.071
< 0.1%
493.63785711
< 0.1%

usage_app_other_median_w1_2
Real number (ℝ)

Zeros 

Distinct27194
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.24965089
Minimum0
Maximum621.945
Zeros2567
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:38.567702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.49575
Q167.97
median95.3725
Q3116.21625
95-th percentile170.125
Maximum621.945
Range621.945
Interquartile range (IQR)48.24625

Descriptive statistics

Standard deviation51.43181145
Coefficient of variation (CV)0.5515496408
Kurtosis6.448501673
Mean93.24965089
Median Absolute Deviation (MAD)23.9575
Skewness1.306661393
Sum4849354.845
Variance2645.231229
MonotonicityNot monotonic
2025-11-23T20:17:39.115371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02567
 
4.9%
85.8511
 
< 0.1%
106.0911
 
< 0.1%
96.05511
 
< 0.1%
97.410
 
< 0.1%
98.1210
 
< 0.1%
101.77510
 
< 0.1%
101.05510
 
< 0.1%
99.8410
 
< 0.1%
100.9710
 
< 0.1%
Other values (27184)49344
94.9%
ValueCountFrequency (%)
02567
4.9%
0.0051
 
< 0.1%
0.0252
 
< 0.1%
0.0351
 
< 0.1%
0.0451
 
< 0.1%
ValueCountFrequency (%)
621.9451
< 0.1%
611.5051
< 0.1%
593.4251
< 0.1%
550.631
< 0.1%
550.6251
< 0.1%

usage_app_other_median_w3_4
Real number (ℝ)

Zeros 

Distinct23058
Distinct (%)44.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.25170987
Minimum0
Maximum665.195
Zeros20854
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:39.376212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.51
Q391.84625
95-th percentile178.04425
Maximum665.195
Range665.195
Interquartile range (IQR)91.84625

Descriptive statistics

Standard deviation65.90348923
Coefficient of variation (CV)1.28587884
Kurtosis2.238672443
Mean51.25170987
Median Absolute Deviation (MAD)17.51
Skewness1.416877398
Sum2665293.92
Variance4343.269893
MonotonicityNot monotonic
2025-11-23T20:17:39.651045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020854
40.1%
0.169
 
< 0.1%
5.7758
 
< 0.1%
16.6657
 
< 0.1%
1.697
 
< 0.1%
42.2357
 
< 0.1%
0.647
 
< 0.1%
1.1257
 
< 0.1%
4.7856
 
< 0.1%
1.916
 
< 0.1%
Other values (23048)31086
59.8%
ValueCountFrequency (%)
020854
40.1%
0.011
 
< 0.1%
0.0152
 
< 0.1%
0.021
 
< 0.1%
0.0251
 
< 0.1%
ValueCountFrequency (%)
665.1951
< 0.1%
548.2151
< 0.1%
529.7151
< 0.1%
503.941
< 0.1%
499.7151
< 0.1%

usage_app_other_std_dev_w1_2
Real number (ℝ)

Unique 

Distinct52004
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.69269178
Minimum0.4102753029
Maximum618.3410418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:39.918882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.4102753029
5-th percentile9.045560638
Q134.83225549
median59.14421418
Q3105.7302057
95-th percentile273.6299372
Maximum618.3410418
Range617.9307665
Interquartile range (IQR)70.89795022

Descriptive statistics

Standard deviation83.25996635
Coefficient of variation (CV)0.9494515982
Kurtosis2.469157886
Mean87.69269178
Median Absolute Deviation (MAD)31.55506535
Skewness1.67204388
Sum4560370.743
Variance6932.221997
MonotonicityNot monotonic
2025-11-23T20:17:40.190716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62.025641181
 
< 0.1%
141.84377551
 
< 0.1%
49.312291051
 
< 0.1%
232.69729171
 
< 0.1%
67.650577541
 
< 0.1%
35.66392441
 
< 0.1%
66.56688831
 
< 0.1%
356.24378861
 
< 0.1%
72.782765151
 
< 0.1%
188.62027961
 
< 0.1%
Other values (51994)51994
> 99.9%
ValueCountFrequency (%)
0.41027530291
< 0.1%
0.52253608111
< 0.1%
0.59526012411
< 0.1%
0.5965307211
< 0.1%
0.61332860531
< 0.1%
ValueCountFrequency (%)
618.34104181
< 0.1%
591.71149091
< 0.1%
532.91697531
< 0.1%
529.30263321
< 0.1%
519.09878671
< 0.1%

usage_app_other_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50725
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.87195277
Minimum0
Maximum587.9058748
Zeros1227
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:40.456556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.072080091
Q139.76134283
median71.11439297
Q3105.6599251
95-th percentile259.6883877
Maximum587.9058748
Range587.9058748
Interquartile range (IQR)65.89858222

Descriptive statistics

Standard deviation76.67684717
Coefficient of variation (CV)0.8531788262
Kurtosis3.097920785
Mean89.87195277
Median Absolute Deviation (MAD)32.47352071
Skewness1.688043665
Sum4673701.032
Variance5879.338892
MonotonicityNot monotonic
2025-11-23T20:17:40.729390image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01227
 
2.4%
37.12258652
 
< 0.1%
15.974204432
 
< 0.1%
2.563035312
 
< 0.1%
33.439726592
 
< 0.1%
25.232133852
 
< 0.1%
23.927898992
 
< 0.1%
35.738173272
 
< 0.1%
44.899888642
 
< 0.1%
37.221473162
 
< 0.1%
Other values (50715)50759
97.6%
ValueCountFrequency (%)
01227
2.4%
0.0026726124191
 
< 0.1%
0.0026726124191
 
< 0.1%
0.0053452248381
 
< 0.1%
0.026726124191
 
< 0.1%
ValueCountFrequency (%)
587.90587481
< 0.1%
571.01451
< 0.1%
564.9194991
< 0.1%
551.68627421
< 0.1%
522.76478851
< 0.1%
Distinct39215
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310.7167781
Minimum0
Maximum1582.04
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:40.991232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile147.9415
Q1207.78
median275.66
Q3356.8125
95-th percentile642.715
Maximum1582.04
Range1582.04
Interquartile range (IQR)149.0325

Descriptive statistics

Standard deviation155.5452096
Coefficient of variation (CV)0.5006012567
Kurtosis5.368739792
Mean310.7167781
Median Absolute Deviation (MAD)73.18
Skewness1.982402077
Sum16158515.33
Variance24194.31223
MonotonicityNot monotonic
2025-11-23T20:17:41.284053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
207.357
 
< 0.1%
198.947
 
< 0.1%
191.347
 
< 0.1%
227.387
 
< 0.1%
279.427
 
< 0.1%
178.566
 
< 0.1%
299.056
 
< 0.1%
228.516
 
< 0.1%
200.656
 
< 0.1%
282.26
 
< 0.1%
Other values (39205)51939
99.9%
ValueCountFrequency (%)
01
< 0.1%
3.351
< 0.1%
8.241
< 0.1%
301
< 0.1%
38.421
< 0.1%
ValueCountFrequency (%)
1582.041
< 0.1%
1485.11
< 0.1%
1477.861
< 0.1%
1456.161
< 0.1%
1451.651
< 0.1%

usage_voice_d2d_incoming_total_w3_4
Real number (ℝ)

Zeros 

Distinct39446
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.4712828
Minimum0
Maximum1503.7
Zeros1291
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:41.570879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.1615
Q179.0925
median181.205
Q3307.42
95-th percentile575.534
Maximum1503.7
Range1503.7
Interquartile range (IQR)228.3275

Descriptive statistics

Standard deviation183.4348672
Coefficient of variation (CV)0.8358035042
Kurtosis2.776592463
Mean219.4712828
Median Absolute Deviation (MAD)111.575
Skewness1.42411324
Sum11413384.59
Variance33648.35051
MonotonicityNot monotonic
2025-11-23T20:17:41.839713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01291
 
2.5%
36.338
 
< 0.1%
21.437
 
< 0.1%
53.317
 
< 0.1%
99.376
 
< 0.1%
52.426
 
< 0.1%
35.796
 
< 0.1%
29.796
 
< 0.1%
63.776
 
< 0.1%
79.66
 
< 0.1%
Other values (39436)50655
97.4%
ValueCountFrequency (%)
01291
2.5%
0.012
 
< 0.1%
0.022
 
< 0.1%
0.031
 
< 0.1%
0.051
 
< 0.1%
ValueCountFrequency (%)
1503.71
< 0.1%
1407.131
< 0.1%
1404.261
< 0.1%
1394.041
< 0.1%
1368.981
< 0.1%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.88177832
Minimum0
Maximum14
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:42.050585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q18
median11
Q314
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.747441215
Coefficient of variation (CV)0.2524809027
Kurtosis-1.150339165
Mean10.88177832
Median Absolute Deviation (MAD)3
Skewness-0.2757583251
Sum565896
Variance7.548433228
MonotonicityNot monotonic
2025-11-23T20:17:42.237473image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1416375
31.5%
87458
14.3%
96392
 
12.3%
105380
 
10.3%
134104
 
7.9%
113480
 
6.7%
123245
 
6.2%
73066
 
5.9%
61511
 
2.9%
5676
 
1.3%
Other values (5)317
 
0.6%
ValueCountFrequency (%)
01
 
< 0.1%
12
 
< 0.1%
214
 
< 0.1%
356
 
0.1%
4244
0.5%
ValueCountFrequency (%)
1416375
31.5%
134104
 
7.9%
123245
 
6.2%
113480
 
6.7%
105380
 
10.3%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.16900623
Minimum0
Maximum14
Zeros1291
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:42.419361image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile13
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.367307724
Coefficient of variation (CV)0.4697035566
Kurtosis-0.3841713037
Mean7.16900623
Median Absolute Deviation (MAD)2
Skewness-0.05522129419
Sum372817
Variance11.33876131
MonotonicityNot monotonic
2025-11-23T20:17:42.609246image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86777
13.0%
96432
12.4%
76050
11.6%
65638
10.8%
54154
8.0%
104037
7.8%
43169
6.1%
112787
 
5.4%
32591
 
5.0%
142527
 
4.9%
Other values (5)7842
15.1%
ValueCountFrequency (%)
01291
2.5%
12074
4.0%
21996
3.8%
32591
5.0%
43169
6.1%
ValueCountFrequency (%)
142527
4.9%
131073
 
2.1%
121408
 
2.7%
112787
5.4%
104037
7.8%
Distinct38577
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.19405558
Minimum0
Maximum113.0028571
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:42.856096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.56725
Q114.84142857
median19.69
Q325.48660714
95-th percentile45.90821429
Maximum113.0028571
Range113.0028571
Interquartile range (IQR)10.64517857

Descriptive statistics

Standard deviation11.11037212
Coefficient of variation (CV)0.5006012567
Kurtosis5.368739792
Mean22.19405558
Median Absolute Deviation (MAD)5.227142857
Skewness1.982402077
Sum1154179.666
Variance123.4403685
MonotonicityNot monotonic
2025-11-23T20:17:43.138926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.217
 
< 0.1%
14.810714297
 
< 0.1%
16.241428577
 
< 0.1%
13.667142867
 
< 0.1%
19.958571437
 
< 0.1%
20.157142866
 
< 0.1%
16.149285716
 
< 0.1%
19.027857146
 
< 0.1%
14.490714296
 
< 0.1%
22.628571436
 
< 0.1%
Other values (38567)51939
99.9%
ValueCountFrequency (%)
01
< 0.1%
0.23928571431
< 0.1%
0.58857142861
< 0.1%
2.1428571431
< 0.1%
2.7442857141
< 0.1%
ValueCountFrequency (%)
113.00285711
< 0.1%
106.07857141
< 0.1%
105.56142861
< 0.1%
104.01142861
< 0.1%
103.68928571
< 0.1%
Distinct38886
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.6765202
Minimum0
Maximum107.4071429
Zeros1291
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:43.427212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9401071429
Q15.649464286
median12.94321429
Q321.95857143
95-th percentile41.10957143
Maximum107.4071429
Range107.4071429
Interquartile range (IQR)16.30910714

Descriptive statistics

Standard deviation13.10249052
Coefficient of variation (CV)0.8358035042
Kurtosis2.776592463
Mean15.6765202
Median Absolute Deviation (MAD)7.969642857
Skewness1.42411324
Sum815241.7564
Variance171.6752577
MonotonicityNot monotonic
2025-11-23T20:17:43.706042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01291
 
2.5%
2.5958
 
< 0.1%
17.464285717
 
< 0.1%
1.5307142867
 
< 0.1%
3.8078571437
 
< 0.1%
2.4035714296
 
< 0.1%
7.0978571436
 
< 0.1%
4.5556
 
< 0.1%
2.1278571436
 
< 0.1%
1.7521428576
 
< 0.1%
Other values (38876)50654
97.4%
ValueCountFrequency (%)
01291
2.5%
0.00071428571432
 
< 0.1%
0.0014285714292
 
< 0.1%
0.0021428571431
 
< 0.1%
0.0035714285711
 
< 0.1%
ValueCountFrequency (%)
107.40714291
< 0.1%
100.50928571
< 0.1%
100.30428571
< 0.1%
99.574285711
< 0.1%
97.784285711
< 0.1%

usage_voice_d2d_incoming_median_w1_2
Real number (ℝ)

Zeros 

Distinct10894
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.66017354
Minimum0
Maximum121.9
Zeros2504
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:43.974877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.205
Q113.68
median19.1125
Q323.22125
95-th percentile33.99925
Maximum121.9
Range121.9
Interquartile range (IQR)9.54125

Descriptive statistics

Standard deviation10.25075097
Coefficient of variation (CV)0.5493384586
Kurtosis6.659647724
Mean18.66017354
Median Absolute Deviation (MAD)4.7475
Skewness1.320957752
Sum970403.665
Variance105.0778955
MonotonicityNot monotonic
2025-11-23T20:17:44.255706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02504
 
4.8%
20.2934
 
0.1%
20.2530
 
0.1%
19.9329
 
0.1%
20.15529
 
0.1%
20.2129
 
0.1%
21.1128
 
0.1%
19.72528
 
0.1%
2027
 
0.1%
19.97527
 
0.1%
Other values (10884)49239
94.7%
ValueCountFrequency (%)
02504
4.8%
0.0055
 
< 0.1%
0.012
 
< 0.1%
0.0154
 
< 0.1%
0.023
 
< 0.1%
ValueCountFrequency (%)
121.91
< 0.1%
115.131
< 0.1%
114.281
< 0.1%
111.821
< 0.1%
110.421
< 0.1%

usage_voice_d2d_incoming_median_w3_4
Real number (ℝ)

Zeros 

Distinct10916
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.23562043
Minimum0
Maximum122.055
Zeros20913
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:44.513552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.535
Q318.435
95-th percentile35.51425
Maximum122.055
Range122.055
Interquartile range (IQR)18.435

Descriptive statistics

Standard deviation13.16204218
Coefficient of variation (CV)1.285905653
Kurtosis2.279847114
Mean10.23562043
Median Absolute Deviation (MAD)3.535
Skewness1.420246275
Sum532293.205
Variance173.2393543
MonotonicityNot monotonic
2025-11-23T20:17:44.791383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020913
40.2%
0.10515
 
< 0.1%
0.4315
 
< 0.1%
0.63515
 
< 0.1%
0.1215
 
< 0.1%
0.11515
 
< 0.1%
1.21515
 
< 0.1%
0.0314
 
< 0.1%
3.16514
 
< 0.1%
0.5214
 
< 0.1%
Other values (10906)30959
59.5%
ValueCountFrequency (%)
020913
40.2%
0.00513
 
< 0.1%
0.0110
 
< 0.1%
0.01513
 
< 0.1%
0.029
 
< 0.1%
ValueCountFrequency (%)
122.0551
< 0.1%
114.7951
< 0.1%
109.691
< 0.1%
109.4951
< 0.1%
109.2851
< 0.1%
Distinct52002
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.39422665
Minimum0
Maximum118.4295506
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:45.349047image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.801652354
Q16.890285357
median11.78048095
Q320.64788177
95-th percentile54.63193189
Maximum118.4295506
Range118.4295506
Interquartile range (IQR)13.75759642

Descriptive statistics

Standard deviation16.5973308
Coefficient of variation (CV)0.9541861873
Kurtosis2.578614465
Mean17.39422665
Median Absolute Deviation (MAD)6.203700177
Skewness1.698246744
Sum904569.3625
Variance275.4713898
MonotonicityNot monotonic
2025-11-23T20:17:45.619877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.7628717262
 
< 0.1%
3.0012404032
 
< 0.1%
10.131512291
 
< 0.1%
13.046166311
 
< 0.1%
18.766837541
 
< 0.1%
1.4667525991
 
< 0.1%
15.014758621
 
< 0.1%
22.796483931
 
< 0.1%
11.459773911
 
< 0.1%
9.2903662731
 
< 0.1%
Other values (51992)51992
> 99.9%
ValueCountFrequency (%)
01
< 0.1%
0.092961057661
< 0.1%
0.097679111341
< 0.1%
0.098404860061
< 0.1%
0.11844227041
< 0.1%
ValueCountFrequency (%)
118.42955061
< 0.1%
116.64407811
< 0.1%
109.24275811
< 0.1%
105.59157581
< 0.1%
105.07779021
< 0.1%

usage_voice_d2d_incoming_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50397
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.85020964
Minimum0
Maximum126.1485628
Zeros1291
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:45.887714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.832672173
Q17.955228117
median14.0737364
Q320.86845767
95-th percentile51.70940853
Maximum126.1485628
Range126.1485628
Interquartile range (IQR)12.91322955

Descriptive statistics

Standard deviation15.26964715
Coefficient of variation (CV)0.8554323705
Kurtosis3.371658978
Mean17.85020964
Median Absolute Deviation (MAD)6.378924886
Skewness1.736227699
Sum928282.3023
Variance233.1621241
MonotonicityNot monotonic
2025-11-23T20:17:46.165546image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01291
 
2.5%
4.5568041755
 
< 0.1%
1.3951036834
 
< 0.1%
3.4049082224
 
< 0.1%
5.7274084144
 
< 0.1%
5.9866518194
 
< 0.1%
5.0806362094
 
< 0.1%
8.993340794
 
< 0.1%
4.0035734044
 
< 0.1%
4.0570256523
 
< 0.1%
Other values (50387)50677
97.4%
ValueCountFrequency (%)
01291
2.5%
0.0026726124191
 
< 0.1%
0.0026726124191
 
< 0.1%
0.0053452248381
 
< 0.1%
0.0053452248381
 
< 0.1%
ValueCountFrequency (%)
126.14856281
< 0.1%
118.45552151
< 0.1%
112.53482011
< 0.1%
110.33831621
< 0.1%
108.29995321
< 0.1%
Distinct39371
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean311.3890457
Minimum5.28
Maximum1674.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:46.433386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5.28
5-th percentile146.8215
Q1207.26
median275.67
Q3357.5025
95-th percentile649.749
Maximum1674.52
Range1669.24
Interquartile range (IQR)150.2425

Descriptive statistics

Standard deviation157.2417144
Coefficient of variation (CV)0.504968677
Kurtosis5.224840516
Mean311.3890457
Median Absolute Deviation (MAD)73.745
Skewness1.961423034
Sum16193475.93
Variance24724.95675
MonotonicityNot monotonic
2025-11-23T20:17:46.714212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
363.057
 
< 0.1%
180.787
 
< 0.1%
1887
 
< 0.1%
220.877
 
< 0.1%
262.527
 
< 0.1%
192.266
 
< 0.1%
363.126
 
< 0.1%
198.936
 
< 0.1%
264.316
 
< 0.1%
195.376
 
< 0.1%
Other values (39361)51939
99.9%
ValueCountFrequency (%)
5.281
< 0.1%
17.161
< 0.1%
24.471
< 0.1%
26.111
< 0.1%
32.361
< 0.1%
ValueCountFrequency (%)
1674.521
< 0.1%
1555.771
< 0.1%
1468.731
< 0.1%
1433.151
< 0.1%
1413.661
< 0.1%

usage_voice_d2d_outgoing_total_w3_4
Real number (ℝ)

Zeros 

Distinct39539
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.863922
Minimum0
Maximum1520.52
Zeros1195
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:46.977053image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.86
Q179.53
median181.79
Q3307.585
95-th percentile575.2655
Maximum1520.52
Range1520.52
Interquartile range (IQR)228.055

Descriptive statistics

Standard deviation182.7179991
Coefficient of variation (CV)0.8310503945
Kurtosis2.601322342
Mean219.863922
Median Absolute Deviation (MAD)111.295
Skewness1.393304521
Sum11433803.4
Variance33385.8672
MonotonicityNot monotonic
2025-11-23T20:17:47.268876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01195
 
2.3%
24.37
 
< 0.1%
34.897
 
< 0.1%
236
 
< 0.1%
43.596
 
< 0.1%
159.226
 
< 0.1%
53.256
 
< 0.1%
46.756
 
< 0.1%
21.986
 
< 0.1%
23.866
 
< 0.1%
Other values (39529)50753
97.6%
ValueCountFrequency (%)
01195
2.3%
0.013
 
< 0.1%
0.051
 
< 0.1%
0.081
 
< 0.1%
0.132
 
< 0.1%
ValueCountFrequency (%)
1520.521
< 0.1%
1517.161
< 0.1%
1342.181
< 0.1%
1335.11
< 0.1%
1330.451
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.85108838
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:47.482748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q18
median11
Q314
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.751447581
Coefficient of variation (CV)0.2535642034
Kurtosis-1.126293593
Mean10.85108838
Median Absolute Deviation (MAD)3
Skewness-0.2702673209
Sum564300
Variance7.570463789
MonotonicityNot monotonic
2025-11-23T20:17:47.675628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416132
31.0%
87442
14.3%
96431
 
12.4%
105551
 
10.7%
134054
 
7.8%
113440
 
6.6%
123279
 
6.3%
73108
 
6.0%
61533
 
2.9%
5667
 
1.3%
Other values (4)367
 
0.7%
ValueCountFrequency (%)
13
 
< 0.1%
219
 
< 0.1%
373
 
0.1%
4272
0.5%
5667
1.3%
ValueCountFrequency (%)
1416132
31.0%
134054
 
7.8%
123279
 
6.3%
113440
 
6.6%
105551
 
10.7%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.171929082
Minimum0
Maximum14
Zeros1195
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:47.854522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile13
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.331886962
Coefficient of variation (CV)0.4645733279
Kurtosis-0.3495103857
Mean7.171929082
Median Absolute Deviation (MAD)2
Skewness-0.04240818351
Sum372969
Variance11.10147072
MonotonicityNot monotonic
2025-11-23T20:17:48.043406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86759
13.0%
96570
12.6%
76162
11.8%
65788
11.1%
54265
8.2%
103903
7.5%
43236
6.2%
112678
 
5.1%
32504
 
4.8%
142469
 
4.7%
Other values (5)7670
14.7%
ValueCountFrequency (%)
01195
 
2.3%
12038
3.9%
21930
3.7%
32504
4.8%
43236
6.2%
ValueCountFrequency (%)
142469
4.7%
131088
 
2.1%
121419
 
2.7%
112678
5.1%
103903
7.5%
Distinct38712
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.24207469
Minimum0.3771428571
Maximum119.6085714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:48.298251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.3771428571
5-th percentile10.48725
Q114.80428571
median19.69071429
Q325.53589286
95-th percentile46.41064286
Maximum119.6085714
Range119.2314286
Interquartile range (IQR)10.73160714

Descriptive statistics

Standard deviation11.23155103
Coefficient of variation (CV)0.504968677
Kurtosis5.224840516
Mean22.24207469
Median Absolute Deviation (MAD)5.2675
Skewness1.961423034
Sum1156676.852
Variance126.1477385
MonotonicityNot monotonic
2025-11-23T20:17:48.585079image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.932142867
 
< 0.1%
12.912857147
 
< 0.1%
15.776428577
 
< 0.1%
18.751428577
 
< 0.1%
13.428571437
 
< 0.1%
16.803571437
 
< 0.1%
16.624285717
 
< 0.1%
16.962857147
 
< 0.1%
25.686428576
 
< 0.1%
13.9556
 
< 0.1%
Other values (38702)51936
99.9%
ValueCountFrequency (%)
0.37714285711
< 0.1%
1.2257142861
< 0.1%
1.7478571431
< 0.1%
1.8651
< 0.1%
2.3114285711
< 0.1%
ValueCountFrequency (%)
119.60857141
< 0.1%
111.12642861
< 0.1%
104.90928571
< 0.1%
102.36785711
< 0.1%
100.97571431
< 0.1%
Distinct38943
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.70456586
Minimum0
Maximum108.6085714
Zeros1195
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:48.868905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.99
Q15.680714286
median12.985
Q321.97035714
95-th percentile41.09039286
Maximum108.6085714
Range108.6085714
Interquartile range (IQR)16.28964286

Descriptive statistics

Standard deviation13.05128565
Coefficient of variation (CV)0.8310503945
Kurtosis2.601322342
Mean15.70456586
Median Absolute Deviation (MAD)7.949642857
Skewness1.393304521
Sum816700.2429
Variance170.3360572
MonotonicityNot monotonic
2025-11-23T20:17:49.144737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01195
 
2.3%
1.7357142867
 
< 0.1%
2.4921428577
 
< 0.1%
2.1607142866
 
< 0.1%
1.576
 
< 0.1%
3.3392857146
 
< 0.1%
22.002857146
 
< 0.1%
11.372857146
 
< 0.1%
1.6428571436
 
< 0.1%
2.9678571436
 
< 0.1%
Other values (38933)50753
97.6%
ValueCountFrequency (%)
01195
2.3%
0.00071428571433
 
< 0.1%
0.0035714285711
 
< 0.1%
0.0057142857141
 
< 0.1%
0.0092857142862
 
< 0.1%
ValueCountFrequency (%)
108.60857141
< 0.1%
108.36857141
< 0.1%
95.871
< 0.1%
95.364285711
< 0.1%
95.032142861
< 0.1%

usage_voice_d2d_outgoing_median_w1_2
Real number (ℝ)

Zeros 

Distinct10985
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.59049631
Minimum0
Maximum112.725
Zeros2567
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:49.412575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.065
Q113.54
median19.055
Q323.11625
95-th percentile33.96
Maximum112.725
Range112.725
Interquartile range (IQR)9.57625

Descriptive statistics

Standard deviation10.27956393
Coefficient of variation (CV)0.5529472562
Kurtosis6.274183007
Mean18.59049631
Median Absolute Deviation (MAD)4.76
Skewness1.287172883
Sum966780.17
Variance105.6694345
MonotonicityNot monotonic
2025-11-23T20:17:49.690406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02567
 
4.9%
20.0832
 
0.1%
19.9631
 
0.1%
19.97530
 
0.1%
20.51529
 
0.1%
19.8929
 
0.1%
19.8529
 
0.1%
20.02529
 
0.1%
20.01528
 
0.1%
20.29528
 
0.1%
Other values (10975)49172
94.6%
ValueCountFrequency (%)
02567
4.9%
0.0051
 
< 0.1%
0.013
 
< 0.1%
0.0153
 
< 0.1%
0.021
 
< 0.1%
ValueCountFrequency (%)
112.7251
< 0.1%
111.071
< 0.1%
109.851
< 0.1%
108.4351
< 0.1%
108.191
< 0.1%

usage_voice_d2d_outgoing_median_w3_4
Real number (ℝ)

Zeros 

Distinct10890
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.21272335
Minimum0
Maximum112.46
Zeros20956
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:49.957242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.545
Q318.45
95-th percentile35.345
Maximum112.46
Range112.46
Interquartile range (IQR)18.45

Descriptive statistics

Standard deviation13.09958479
Coefficient of variation (CV)1.282673029
Kurtosis2.095932653
Mean10.21272335
Median Absolute Deviation (MAD)3.545
Skewness1.395926879
Sum531102.465
Variance171.5991217
MonotonicityNot monotonic
2025-11-23T20:17:50.304034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020956
40.3%
0.07519
 
< 0.1%
0.0817
 
< 0.1%
0.1916
 
< 0.1%
0.40516
 
< 0.1%
0.67516
 
< 0.1%
1.516
 
< 0.1%
0.14516
 
< 0.1%
0.6415
 
< 0.1%
0.515
 
< 0.1%
Other values (10880)30902
59.4%
ValueCountFrequency (%)
020956
40.3%
0.00510
 
< 0.1%
0.018
 
< 0.1%
0.01513
 
< 0.1%
0.029
 
< 0.1%
ValueCountFrequency (%)
112.461
< 0.1%
112.381
< 0.1%
112.0251
< 0.1%
111.0451
< 0.1%
105.411
< 0.1%
Distinct52001
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.5927484
Minimum0.1116041868
Maximum121.2108049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:50.642828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1116041868
5-th percentile1.776466272
Q16.980355765
median11.81719413
Q321.05477358
95-th percentile55.30451187
Maximum121.2108049
Range121.0992007
Interquartile range (IQR)14.07441782

Descriptive statistics

Standard deviation16.80783263
Coefficient of variation (CV)0.9553841305
Kurtosis2.534381465
Mean17.5927484
Median Absolute Deviation (MAD)6.253258078
Skewness1.68839566
Sum914893.2879
Variance282.5032379
MonotonicityNot monotonic
2025-11-23T20:17:50.909666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9437186812
 
< 0.1%
3.7058694162
 
< 0.1%
11.995471972
 
< 0.1%
11.291260191
 
< 0.1%
13.884924551
 
< 0.1%
11.977606141
 
< 0.1%
2.6417236511
 
< 0.1%
5.3797689811
 
< 0.1%
4.0728093961
 
< 0.1%
9.5347976921
 
< 0.1%
Other values (51991)51991
> 99.9%
ValueCountFrequency (%)
0.11160418681
< 0.1%
0.11287696311
< 0.1%
0.12015557681
< 0.1%
0.12107576411
< 0.1%
0.12783273761
< 0.1%
ValueCountFrequency (%)
121.21080491
< 0.1%
115.8722581
< 0.1%
105.21277431
< 0.1%
105.20336481
< 0.1%
104.91427151
< 0.1%

usage_voice_d2d_outgoing_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50516
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.93911444
Minimum0
Maximum114.1178917
Zeros1195
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:51.524290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.834431384
Q17.944716561
median14.17024844
Q320.94883619
95-th percentile52.19001432
Maximum114.1178917
Range114.1178917
Interquartile range (IQR)13.00411963

Descriptive statistics

Standard deviation15.33360562
Coefficient of variation (CV)0.8547582252
Kurtosis3.088618353
Mean17.93911444
Median Absolute Deviation (MAD)6.428362014
Skewness1.699490232
Sum932905.7074
Variance235.1194613
MonotonicityNot monotonic
2025-11-23T20:17:51.805123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01195
 
2.3%
5.291772594
 
< 0.1%
5.8744020974
 
< 0.1%
5.2222846674
 
< 0.1%
1.5982222274
 
< 0.1%
3.0227246463
 
< 0.1%
2.961254563
 
< 0.1%
6.5479004273
 
< 0.1%
6.3314188213
 
< 0.1%
0.25389817983
 
< 0.1%
Other values (50506)50778
97.6%
ValueCountFrequency (%)
01195
2.3%
0.0026726124192
 
< 0.1%
0.0026726124191
 
< 0.1%
0.01336306211
 
< 0.1%
0.021380899351
 
< 0.1%
ValueCountFrequency (%)
114.11789171
< 0.1%
111.86422761
< 0.1%
108.75962731
< 0.1%
105.40658381
< 0.1%
104.94725031
< 0.1%
Distinct39330
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310.873049
Minimum28
Maximum1606.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:52.064962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile146.5315
Q1207.5175
median275.64
Q3357.69
95-th percentile641.797
Maximum1606.78
Range1578.78
Interquartile range (IQR)150.1725

Descriptive statistics

Standard deviation156.5273242
Coefficient of variation (CV)0.5035088268
Kurtosis5.280824211
Mean310.873049
Median Absolute Deviation (MAD)73.92
Skewness1.970755416
Sum16166642.04
Variance24500.80322
MonotonicityNot monotonic
2025-11-23T20:17:52.370777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
362.429
 
< 0.1%
316.746
 
< 0.1%
184.616
 
< 0.1%
275.386
 
< 0.1%
264.266
 
< 0.1%
329.56
 
< 0.1%
306.756
 
< 0.1%
362.976
 
< 0.1%
240.36
 
< 0.1%
370.016
 
< 0.1%
Other values (39320)51941
99.9%
ValueCountFrequency (%)
281
< 0.1%
35.851
< 0.1%
50.491
< 0.1%
51.111
< 0.1%
52.911
< 0.1%
ValueCountFrequency (%)
1606.781
< 0.1%
1483.751
< 0.1%
1478.241
< 0.1%
1455.091
< 0.1%
1413.471
< 0.1%

usage_voice_nd2d_incoming_total_w3_4
Real number (ℝ)

Zeros 

Distinct39530
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.5980725
Minimum0
Maximum1522.3
Zeros1217
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:52.655603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.96
Q179.515
median181.845
Q3306.9625
95-th percentile575.0195
Maximum1522.3
Range1522.3
Interquartile range (IQR)227.4475

Descriptive statistics

Standard deviation182.8463919
Coefficient of variation (CV)0.8326411516
Kurtosis2.792486758
Mean219.5980725
Median Absolute Deviation (MAD)111.26
Skewness1.419086109
Sum11419978.16
Variance33432.80305
MonotonicityNot monotonic
2025-11-23T20:17:52.928437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01217
 
2.3%
49.349
 
< 0.1%
80.117
 
< 0.1%
25.547
 
< 0.1%
59.76
 
< 0.1%
13.826
 
< 0.1%
23.86
 
< 0.1%
75.666
 
< 0.1%
13.396
 
< 0.1%
28.146
 
< 0.1%
Other values (39520)50728
97.5%
ValueCountFrequency (%)
01217
2.3%
0.031
 
< 0.1%
0.041
 
< 0.1%
0.061
 
< 0.1%
0.082
 
< 0.1%
ValueCountFrequency (%)
1522.31
< 0.1%
1459.051
< 0.1%
1455.21
< 0.1%
1390.281
< 0.1%
1343.251
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.84868472
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:53.142310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q18
median11
Q314
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.748739688
Coefficient of variation (CV)0.2533707781
Kurtosis-1.13471383
Mean10.84868472
Median Absolute Deviation (MAD)3
Skewness-0.2654271546
Sum564175
Variance7.555569872
MonotonicityNot monotonic
2025-11-23T20:17:53.341188image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416106
31.0%
87472
14.4%
96418
 
12.3%
105518
 
10.6%
134045
 
7.8%
113564
 
6.9%
123213
 
6.2%
73137
 
6.0%
61468
 
2.8%
5719
 
1.4%
Other values (4)344
 
0.7%
ValueCountFrequency (%)
11
 
< 0.1%
215
 
< 0.1%
377
 
0.1%
4251
 
0.5%
5719
1.4%
ValueCountFrequency (%)
1416106
31.0%
134045
 
7.8%
123213
 
6.2%
113564
 
6.9%
105518
 
10.6%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.167544804
Minimum0
Maximum14
Zeros1217
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:53.519078image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.364535692
Coefficient of variation (CV)0.469412579
Kurtosis-0.3752932936
Mean7.167544804
Median Absolute Deviation (MAD)2
Skewness-0.03780352684
Sum372741
Variance11.32010042
MonotonicityNot monotonic
2025-11-23T20:17:53.710963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86807
13.1%
96433
12.4%
76062
11.7%
65710
11.0%
54178
8.0%
103983
7.7%
43209
6.2%
112666
 
5.1%
142626
 
5.0%
32542
 
4.9%
Other values (5)7788
15.0%
ValueCountFrequency (%)
01217
 
2.3%
12105
4.0%
22031
3.9%
32542
4.9%
43209
6.2%
ValueCountFrequency (%)
142626
5.0%
131035
 
2.0%
121400
 
2.7%
112666
5.1%
103983
7.7%
Distinct38641
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.20521779
Minimum2
Maximum114.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:53.961808image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10.46653571
Q114.82267857
median19.68857143
Q325.54928571
95-th percentile45.84264286
Maximum114.77
Range112.77
Interquartile range (IQR)10.72660714

Descriptive statistics

Standard deviation11.18052316
Coefficient of variation (CV)0.5035088268
Kurtosis5.280824211
Mean22.20521779
Median Absolute Deviation (MAD)5.28
Skewness1.970755416
Sum1154760.146
Variance125.0040981
MonotonicityNot monotonic
2025-11-23T20:17:54.241641image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.887142869
 
< 0.1%
17.165714297
 
< 0.1%
16.963571436
 
< 0.1%
21.910714296
 
< 0.1%
17.164285716
 
< 0.1%
26.429285716
 
< 0.1%
16.352857146
 
< 0.1%
18.875714296
 
< 0.1%
23.304285716
 
< 0.1%
17.437142866
 
< 0.1%
Other values (38631)51940
99.9%
ValueCountFrequency (%)
21
< 0.1%
2.5607142861
< 0.1%
3.6064285711
< 0.1%
3.6507142861
< 0.1%
3.7792857141
< 0.1%
ValueCountFrequency (%)
114.771
< 0.1%
105.98214291
< 0.1%
105.58857141
< 0.1%
103.9351
< 0.1%
100.96214291
< 0.1%
Distinct38938
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.6855766
Minimum0
Maximum108.7357143
Zeros1217
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:54.527465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9257142857
Q15.679642857
median12.98892857
Q321.92589286
95-th percentile41.07282143
Maximum108.7357143
Range108.7357143
Interquartile range (IQR)16.24625

Descriptive statistics

Standard deviation13.06045657
Coefficient of variation (CV)0.8326411516
Kurtosis2.792486758
Mean15.6855766
Median Absolute Deviation (MAD)7.947142857
Skewness1.419086109
Sum815712.7257
Variance170.5755258
MonotonicityNot monotonic
2025-11-23T20:17:54.802301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01217
 
2.3%
3.5242857149
 
< 0.1%
1.8242857147
 
< 0.1%
5.7221428577
 
< 0.1%
0.95642857146
 
< 0.1%
2.376
 
< 0.1%
1.4128571436
 
< 0.1%
1.7335714296
 
< 0.1%
16.577142866
 
< 0.1%
5.1542857146
 
< 0.1%
Other values (38928)50728
97.5%
ValueCountFrequency (%)
01217
2.3%
0.0021428571431
 
< 0.1%
0.0028571428571
 
< 0.1%
0.0042857142861
 
< 0.1%
0.0057142857142
 
< 0.1%
ValueCountFrequency (%)
108.73571431
< 0.1%
104.21785711
< 0.1%
103.94285711
< 0.1%
99.305714291
< 0.1%
95.946428571
< 0.1%

usage_voice_nd2d_incoming_median_w1_2
Real number (ℝ)

Zeros 

Distinct10989
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.60142941
Minimum0
Maximum138.815
Zeros2531
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:55.055145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.16
Q113.545
median19.07
Q323.215
95-th percentile33.79925
Maximum138.815
Range138.815
Interquartile range (IQR)9.67

Descriptive statistics

Standard deviation10.28873778
Coefficient of variation (CV)0.5531154382
Kurtosis6.549294369
Mean18.60142941
Median Absolute Deviation (MAD)4.795
Skewness1.315754001
Sum967348.735
Variance105.8581251
MonotonicityNot monotonic
2025-11-23T20:17:55.314986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02531
 
4.9%
19.9733
 
0.1%
20.40532
 
0.1%
20.0329
 
0.1%
20.6829
 
0.1%
19.44529
 
0.1%
19.7928
 
0.1%
19.5728
 
0.1%
20.30527
 
0.1%
20.7127
 
0.1%
Other values (10979)49211
94.6%
ValueCountFrequency (%)
02531
4.9%
0.0051
 
< 0.1%
0.011
 
< 0.1%
0.0153
 
< 0.1%
0.022
 
< 0.1%
ValueCountFrequency (%)
138.8151
< 0.1%
119.0851
< 0.1%
110.311
< 0.1%
107.981
< 0.1%
107.571
< 0.1%

usage_voice_nd2d_incoming_median_w3_4
Real number (ℝ)

Zeros 

Distinct10864
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.23191899
Minimum0
Maximum119.48
Zeros20992
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:55.588823image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.6
Q318.33
95-th percentile35.30925
Maximum119.48
Range119.48
Interquartile range (IQR)18.33

Descriptive statistics

Standard deviation13.10809661
Coefficient of variation (CV)1.281098553
Kurtosis2.215116675
Mean10.23191899
Median Absolute Deviation (MAD)3.6
Skewness1.407283458
Sum532100.715
Variance171.8221968
MonotonicityNot monotonic
2025-11-23T20:17:55.867653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020992
40.4%
0.14519
 
< 0.1%
0.30517
 
< 0.1%
0.02516
 
< 0.1%
4.1315
 
< 0.1%
0.1715
 
< 0.1%
0.66515
 
< 0.1%
2.0414
 
< 0.1%
0.3514
 
< 0.1%
2.2514
 
< 0.1%
Other values (10854)30873
59.4%
ValueCountFrequency (%)
020992
40.4%
0.0056
 
< 0.1%
0.0113
 
< 0.1%
0.01514
 
< 0.1%
0.028
 
< 0.1%
ValueCountFrequency (%)
119.481
< 0.1%
108.9951
< 0.1%
104.4651
< 0.1%
104.4451
< 0.1%
100.641
< 0.1%
Distinct52001
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.51279361
Minimum0.1200114463
Maximum122.5000566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:56.149479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1200114463
5-th percentile1.831693183
Q16.974541743
median11.83289266
Q321.09902254
95-th percentile54.99252316
Maximum122.5000566
Range122.3800451
Interquartile range (IQR)14.1244808

Descriptive statistics

Standard deviation16.63522659
Coefficient of variation (CV)0.949889947
Kurtosis2.555137037
Mean17.51279361
Median Absolute Deviation (MAD)6.311420533
Skewness1.688479654
Sum910735.3188
Variance276.7307638
MonotonicityNot monotonic
2025-11-23T20:17:56.430309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.27874442
 
< 0.1%
13.794187422
 
< 0.1%
4.031053432
 
< 0.1%
4.696702141
 
< 0.1%
8.5284184281
 
< 0.1%
14.188502771
 
< 0.1%
10.311958841
 
< 0.1%
34.576606471
 
< 0.1%
69.949027571
 
< 0.1%
34.959205391
 
< 0.1%
Other values (51991)51991
> 99.9%
ValueCountFrequency (%)
0.12001144631
< 0.1%
0.12385963341
< 0.1%
0.1309496171
< 0.1%
0.13288018231
< 0.1%
0.13426437751
< 0.1%
ValueCountFrequency (%)
122.50005661
< 0.1%
117.22062181
< 0.1%
117.07987211
< 0.1%
116.6629271
< 0.1%
113.37003241
< 0.1%
Distinct50474
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.8572129
Minimum0
Maximum120.4076379
Zeros1217
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:56.737123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.813189681
Q17.916791794
median14.1967109
Q320.80537266
95-th percentile51.80406579
Maximum120.4076379
Range120.4076379
Interquartile range (IQR)12.88858086

Descriptive statistics

Standard deviation15.26054682
Coefficient of variation (CV)0.8545872701
Kurtosis3.280698216
Mean17.8572129
Median Absolute Deviation (MAD)6.395588463
Skewness1.725062317
Sum928646.4995
Variance232.8842893
MonotonicityNot monotonic
2025-11-23T20:17:57.012955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01217
 
2.3%
6.8258521184
 
< 0.1%
4.4285187784
 
< 0.1%
5.6686109414
 
< 0.1%
6.4864303414
 
< 0.1%
4.1345314123
 
< 0.1%
7.502023063
 
< 0.1%
0.20846376873
 
< 0.1%
5.2650464663
 
< 0.1%
2.5229461243
 
< 0.1%
Other values (50464)50756
97.6%
ValueCountFrequency (%)
01217
2.3%
0.0080178372571
 
< 0.1%
0.010690449681
 
< 0.1%
0.016035674511
 
< 0.1%
0.021380899351
 
< 0.1%
ValueCountFrequency (%)
120.40763791
< 0.1%
119.16775361
< 0.1%
114.39269361
< 0.1%
106.84005241
< 0.1%
105.88463471
< 0.1%
Distinct39584
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean311.7950548
Minimum21.66
Maximum1553.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:57.273799image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21.66
5-th percentile146.993
Q1208.2
median277.01
Q3357.765
95-th percentile645.7825
Maximum1553.36
Range1531.7
Interquartile range (IQR)149.565

Descriptive statistics

Standard deviation156.9079575
Coefficient of variation (CV)0.5032406869
Kurtosis5.359998564
Mean311.7950548
Median Absolute Deviation (MAD)73.76
Skewness1.978378822
Sum16214590.03
Variance24620.10714
MonotonicityNot monotonic
2025-11-23T20:17:57.561623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
325.647
 
< 0.1%
280.156
 
< 0.1%
362.646
 
< 0.1%
181.936
 
< 0.1%
362.256
 
< 0.1%
303.386
 
< 0.1%
282.136
 
< 0.1%
173.996
 
< 0.1%
260.016
 
< 0.1%
292.396
 
< 0.1%
Other values (39574)51943
99.9%
ValueCountFrequency (%)
21.661
< 0.1%
37.011
< 0.1%
37.591
< 0.1%
40.781
< 0.1%
41.291
< 0.1%
ValueCountFrequency (%)
1553.361
< 0.1%
1536.061
< 0.1%
1405.741
< 0.1%
1392.921
< 0.1%
1388.841
< 0.1%

usage_voice_d2nd_outgoing_total_w3_4
Real number (ℝ)

Zeros 

Distinct39409
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.8834659
Minimum0
Maximum1551.62
Zeros1268
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:58.130275image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.803
Q179.1775
median182.47
Q3308.875
95-th percentile569.7185
Maximum1551.62
Range1551.62
Interquartile range (IQR)229.6975

Descriptive statistics

Standard deviation182.0434523
Coefficient of variation (CV)0.8279087815
Kurtosis2.594226357
Mean219.8834659
Median Absolute Deviation (MAD)112.575
Skewness1.370808754
Sum11434819.76
Variance33139.81853
MonotonicityNot monotonic
2025-11-23T20:17:58.416104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01268
 
2.4%
41.938
 
< 0.1%
26.047
 
< 0.1%
20.097
 
< 0.1%
42.257
 
< 0.1%
102.566
 
< 0.1%
53.116
 
< 0.1%
286.276
 
< 0.1%
19.466
 
< 0.1%
35.496
 
< 0.1%
Other values (39399)50677
97.4%
ValueCountFrequency (%)
01268
2.4%
0.022
 
< 0.1%
0.031
 
< 0.1%
0.041
 
< 0.1%
0.051
 
< 0.1%
ValueCountFrequency (%)
1551.621
< 0.1%
1454.41
< 0.1%
1387.51
< 0.1%
1372.271
< 0.1%
1363.991
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.84941543
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:58.637967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q18
median11
Q314
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)6

Descriptive statistics

Standard deviation2.756338779
Coefficient of variation (CV)0.2540541282
Kurtosis-1.130259504
Mean10.84941543
Median Absolute Deviation (MAD)3
Skewness-0.2707360415
Sum564213
Variance7.597403462
MonotonicityNot monotonic
2025-11-23T20:17:58.838847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416156
31.1%
87633
14.7%
96386
 
12.3%
105396
 
10.4%
134072
 
7.8%
113441
 
6.6%
123285
 
6.3%
73069
 
5.9%
61513
 
2.9%
5674
 
1.3%
Other values (4)379
 
0.7%
ValueCountFrequency (%)
12
 
< 0.1%
216
 
< 0.1%
385
 
0.2%
4276
0.5%
5674
1.3%
ValueCountFrequency (%)
1416156
31.1%
134072
 
7.8%
123285
 
6.3%
113441
 
6.6%
105396
 
10.4%
Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.16900623
Minimum0
Maximum14
Zeros1268
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:59.017736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.373144704
Coefficient of variation (CV)0.4705177531
Kurtosis-0.3856873975
Mean7.16900623
Median Absolute Deviation (MAD)2
Skewness-0.04495984349
Sum372817
Variance11.37810519
MonotonicityNot monotonic
2025-11-23T20:17:59.217617image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86892
13.3%
96389
12.3%
76044
11.6%
65519
10.6%
54241
8.2%
103978
7.6%
43167
6.1%
112727
 
5.2%
142603
 
5.0%
32592
 
5.0%
Other values (5)7852
15.1%
ValueCountFrequency (%)
01268
2.4%
12075
4.0%
22036
3.9%
32592
5.0%
43167
6.1%
ValueCountFrequency (%)
142603
5.0%
131067
 
2.1%
121406
 
2.7%
112727
5.2%
103978
7.6%
Distinct38919
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.27107534
Minimum1.547142857
Maximum110.9542857
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:17:59.470461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.547142857
5-th percentile10.4995
Q114.87142857
median19.78642857
Q325.55464286
95-th percentile46.12732143
Maximum110.9542857
Range109.4071429
Interquartile range (IQR)10.68321429

Descriptive statistics

Standard deviation11.20771125
Coefficient of variation (CV)0.5032406869
Kurtosis5.359998564
Mean22.27107534
Median Absolute Deviation (MAD)5.268571429
Skewness1.978378822
Sum1158185.002
Variance125.6127915
MonotonicityNot monotonic
2025-11-23T20:17:59.752293image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.267
 
< 0.1%
25.902857146
 
< 0.1%
12.9956
 
< 0.1%
18.572142866
 
< 0.1%
17.551428576
 
< 0.1%
12.427857146
 
< 0.1%
12.776428576
 
< 0.1%
25.8756
 
< 0.1%
21.676
 
< 0.1%
16.162142866
 
< 0.1%
Other values (38909)51943
99.9%
ValueCountFrequency (%)
1.5471428571
< 0.1%
2.6435714291
< 0.1%
2.6851
< 0.1%
2.9128571431
< 0.1%
2.9492857141
< 0.1%
ValueCountFrequency (%)
110.95428571
< 0.1%
109.71857141
< 0.1%
100.411
< 0.1%
99.494285711
< 0.1%
99.202857141
< 0.1%
Distinct38807
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.70596185
Minimum0
Maximum110.83
Zeros1268
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:00.032125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9145
Q15.655535714
median13.03357143
Q322.0625
95-th percentile40.69417857
Maximum110.83
Range110.83
Interquartile range (IQR)16.40696429

Descriptive statistics

Standard deviation13.00310374
Coefficient of variation (CV)0.8279087815
Kurtosis2.594226357
Mean15.70596185
Median Absolute Deviation (MAD)8.041071429
Skewness1.370808754
Sum816772.84
Variance169.0807068
MonotonicityNot monotonic
2025-11-23T20:18:00.310952image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01268
 
2.4%
2.9958
 
< 0.1%
1.4357
 
< 0.1%
3.0178571437
 
< 0.1%
1.867
 
< 0.1%
2.1335714296
 
< 0.1%
1.1221428576
 
< 0.1%
1.396
 
< 0.1%
4.0807142866
 
< 0.1%
2.5356
 
< 0.1%
Other values (38797)50677
97.4%
ValueCountFrequency (%)
01268
2.4%
0.0014285714292
 
< 0.1%
0.0021428571431
 
< 0.1%
0.0028571428571
 
< 0.1%
0.0035714285711
 
< 0.1%
ValueCountFrequency (%)
110.831
< 0.1%
103.88571431
< 0.1%
99.107142861
< 0.1%
98.019285711
< 0.1%
97.427857141
< 0.1%

usage_voice_d2nd_outgoing_median_w1_2
Real number (ℝ)

Zeros 

Distinct10952
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.62443389
Minimum0
Maximum126.755
Zeros2566
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:00.587782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0815
Q113.575
median19.1225
Q323.185
95-th percentile33.8
Maximum126.755
Range126.755
Interquartile range (IQR)9.61

Descriptive statistics

Standard deviation10.32213327
Coefficient of variation (CV)0.5542253433
Kurtosis6.620988152
Mean18.62443389
Median Absolute Deviation (MAD)4.7725
Skewness1.332792994
Sum968545.06
Variance106.5464352
MonotonicityNot monotonic
2025-11-23T20:18:00.866613image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02566
 
4.9%
20.0736
 
0.1%
19.9334
 
0.1%
21.4332
 
0.1%
20.29529
 
0.1%
19.73528
 
0.1%
20.09528
 
0.1%
20.5428
 
0.1%
20.627
 
0.1%
19.8426
 
< 0.1%
Other values (10942)49170
94.6%
ValueCountFrequency (%)
02566
4.9%
0.0056
 
< 0.1%
0.0152
 
< 0.1%
0.022
 
< 0.1%
0.0255
 
< 0.1%
ValueCountFrequency (%)
126.7551
< 0.1%
113.9451
< 0.1%
111.521
< 0.1%
107.681
< 0.1%
100.561
< 0.1%

usage_voice_d2nd_outgoing_median_w3_4
Real number (ℝ)

Zeros 

Distinct10952
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.24626702
Minimum0
Maximum112.925
Zeros20898
Zeros (%)40.2%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:01.136449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.535
Q318.54
95-th percentile35.34425
Maximum112.925
Range112.925
Interquartile range (IQR)18.54

Descriptive statistics

Standard deviation13.08758193
Coefficient of variation (CV)1.277302447
Kurtosis1.91544805
Mean10.24626702
Median Absolute Deviation (MAD)3.535
Skewness1.362451726
Sum532846.87
Variance171.2848008
MonotonicityNot monotonic
2025-11-23T20:18:01.406287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020898
40.2%
2.25517
 
< 0.1%
0.9717
 
< 0.1%
0.49516
 
< 0.1%
0.89516
 
< 0.1%
0.56515
 
< 0.1%
0.0115
 
< 0.1%
0.3215
 
< 0.1%
4.3315
 
< 0.1%
0.2714
 
< 0.1%
Other values (10942)30966
59.5%
ValueCountFrequency (%)
020898
40.2%
0.00511
 
< 0.1%
0.0115
 
< 0.1%
0.01512
 
< 0.1%
0.0210
 
< 0.1%
ValueCountFrequency (%)
112.9251
< 0.1%
111.7951
< 0.1%
106.3451
< 0.1%
103.161
< 0.1%
99.51
< 0.1%
Distinct51996
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.62779056
Minimum0.1102743831
Maximum118.6253613
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:01.685118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1102743831
5-th percentile1.791142477
Q17.074449173
median11.87885748
Q321.20978109
95-th percentile55.15779267
Maximum118.6253613
Range118.515087
Interquartile range (IQR)14.13533192

Descriptive statistics

Standard deviation16.75606613
Coefficient of variation (CV)0.9505482875
Kurtosis2.500654241
Mean17.62779056
Median Absolute Deviation (MAD)6.268383188
Skewness1.678659123
Sum916715.6203
Variance280.7657521
MonotonicityNot monotonic
2025-11-23T20:18:01.964947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.7432902612
 
< 0.1%
9.5827838132
 
< 0.1%
2.4894714562
 
< 0.1%
2.5073852452
 
< 0.1%
6.8127704912
 
< 0.1%
3.5309614082
 
< 0.1%
6.0326667512
 
< 0.1%
2.9500520582
 
< 0.1%
8.7614731061
 
< 0.1%
4.4670892381
 
< 0.1%
Other values (51986)51986
> 99.9%
ValueCountFrequency (%)
0.11027438311
< 0.1%
0.12498791151
< 0.1%
0.14088612811
< 0.1%
0.14559465031
< 0.1%
0.14955060891
< 0.1%
ValueCountFrequency (%)
118.62536131
< 0.1%
115.50139121
< 0.1%
114.44094381
< 0.1%
114.14218141
< 0.1%
109.04607841
< 0.1%
Distinct50432
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.89816868
Minimum0
Maximum110.9610616
Zeros1268
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:02.240778image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.772043203
Q17.923689088
median14.2044256
Q320.95537814
95-th percentile51.63980661
Maximum110.9610616
Range110.9610616
Interquartile range (IQR)13.03168905

Descriptive statistics

Standard deviation15.22468411
Coefficient of variation (CV)0.8506280379
Kurtosis3.030399724
Mean17.89816868
Median Absolute Deviation (MAD)6.447648842
Skewness1.676692546
Sum930776.3642
Variance231.7910063
MonotonicityNot monotonic
2025-11-23T20:18:02.516612image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01268
 
2.4%
3.0227246464
 
< 0.1%
3.72294914
 
< 0.1%
3.6427707274
 
< 0.1%
5.1634871944
 
< 0.1%
5.3879866373
 
< 0.1%
3.6721694643
 
< 0.1%
8.0793073433
 
< 0.1%
0.15768413273
 
< 0.1%
5.2623738533
 
< 0.1%
Other values (50422)50705
97.5%
ValueCountFrequency (%)
01268
2.4%
0.0053452248382
 
< 0.1%
0.0080178372571
 
< 0.1%
0.010690449681
 
< 0.1%
0.01336306211
 
< 0.1%
ValueCountFrequency (%)
110.96106161
< 0.1%
108.31462111
< 0.1%
106.57081221
< 0.1%
106.25336621
< 0.1%
105.84600671
< 0.1%

usage_pack_data_total_w1_2
Real number (ℝ)

Distinct48947
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1560.488805
Minimum18.39
Maximum7891.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:02.789445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18.39
5-th percentile734.9415
Q11039.9575
median1383.07
Q31789.66
95-th percentile3243.858
Maximum7891.92
Range7873.53
Interquartile range (IQR)749.7025

Descriptive statistics

Standard deviation788.4741163
Coefficient of variation (CV)0.5052738051
Kurtosis5.163121327
Mean1560.488805
Median Absolute Deviation (MAD)370.85
Skewness1.960466391
Sum81151659.82
Variance621691.4321
MonotonicityNot monotonic
2025-11-23T20:18:03.067276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1207.654
 
< 0.1%
1049.824
 
< 0.1%
1125.684
 
< 0.1%
1786.314
 
< 0.1%
1179.694
 
< 0.1%
1063.584
 
< 0.1%
1141.853
 
< 0.1%
831.053
 
< 0.1%
1327.413
 
< 0.1%
1038.553
 
< 0.1%
Other values (48937)51968
99.9%
ValueCountFrequency (%)
18.391
< 0.1%
40.681
< 0.1%
92.761
< 0.1%
126.451
< 0.1%
159.591
< 0.1%
ValueCountFrequency (%)
7891.921
< 0.1%
7388.171
< 0.1%
7058.121
< 0.1%
7019.581
< 0.1%
6993.311
< 0.1%

usage_pack_data_total_w3_4
Real number (ℝ)

Zeros 

Distinct48119
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1101.037918
Minimum0
Maximum7627.75
Zeros1181
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:03.349105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68.4415
Q1391.8175
median914.76
Q31544.6475
95-th percentile2885.1515
Maximum7627.75
Range7627.75
Interquartile range (IQR)1152.83

Descriptive statistics

Standard deviation916.0297645
Coefficient of variation (CV)0.8319693167
Kurtosis2.596326955
Mean1101.037918
Median Absolute Deviation (MAD)563.655
Skewness1.384997624
Sum57258375.9
Variance839110.5294
MonotonicityNot monotonic
2025-11-23T20:18:03.634933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01181
 
2.3%
1295.374
 
< 0.1%
155.974
 
< 0.1%
101.44
 
< 0.1%
628.044
 
< 0.1%
276.994
 
< 0.1%
174.014
 
< 0.1%
836.624
 
< 0.1%
798.074
 
< 0.1%
114.224
 
< 0.1%
Other values (48109)50787
97.7%
ValueCountFrequency (%)
01181
2.3%
0.021
 
< 0.1%
0.061
 
< 0.1%
0.161
 
< 0.1%
0.21
 
< 0.1%
ValueCountFrequency (%)
7627.751
< 0.1%
7232.071
< 0.1%
7228.781
< 0.1%
7031.211
< 0.1%
6898.791
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.87045227
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:03.848800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q19
median11
Q314
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.740794737
Coefficient of variation (CV)0.2521325395
Kurtosis-1.126272906
Mean10.87045227
Median Absolute Deviation (MAD)3
Skewness-0.2779853617
Sum565307
Variance7.51195579
MonotonicityNot monotonic
2025-11-23T20:18:04.041685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416097
31.0%
87293
14.0%
96459
12.4%
105589
 
10.7%
134211
 
8.1%
113501
 
6.7%
123273
 
6.3%
73032
 
5.8%
61527
 
2.9%
5682
 
1.3%
Other values (4)340
 
0.7%
ValueCountFrequency (%)
11
 
< 0.1%
215
 
< 0.1%
369
 
0.1%
4255
 
0.5%
5682
1.3%
ValueCountFrequency (%)
1416097
31.0%
134211
 
8.1%
123273
 
6.3%
113501
 
6.7%
105589
 
10.7%

usage_pack_data_active_days_w3_4
Real number (ℝ)

Zeros 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.183216676
Minimum0
Maximum14
Zeros1181
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:04.218578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile14
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.35659658
Coefficient of variation (CV)0.4672832147
Kurtosis-0.3676788517
Mean7.183216676
Median Absolute Deviation (MAD)2
Skewness-0.03108976439
Sum373556
Variance11.2667406
MonotonicityNot monotonic
2025-11-23T20:18:04.709280image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86887
13.2%
96425
12.4%
76048
11.6%
65714
11.0%
54159
8.0%
103895
7.5%
43366
6.5%
112689
 
5.2%
142648
 
5.1%
32500
 
4.8%
Other values (5)7673
14.8%
ValueCountFrequency (%)
01181
 
2.3%
12079
4.0%
21943
3.7%
32500
4.8%
43366
6.5%
ValueCountFrequency (%)
142648
5.1%
131050
 
2.0%
121420
 
2.7%
112689
5.2%
103895
7.5%
Distinct48652
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.4634861
Minimum1.313571429
Maximum563.7085714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:04.946136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.313571429
5-th percentile52.49582143
Q174.28267857
median98.79071429
Q3127.8328571
95-th percentile231.7041429
Maximum563.7085714
Range562.395
Interquartile range (IQR)53.55017857

Descriptive statistics

Standard deviation56.31957974
Coefficient of variation (CV)0.5052738051
Kurtosis5.163121327
Mean111.4634861
Median Absolute Deviation (MAD)26.48928571
Skewness1.960466391
Sum5796547.13
Variance3171.895062
MonotonicityNot monotonic
2025-11-23T20:18:05.221968image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.405714294
 
< 0.1%
84.263571434
 
< 0.1%
127.59357144
 
< 0.1%
66.098571434
 
< 0.1%
68.5254
 
< 0.1%
74.987142864
 
< 0.1%
75.974
 
< 0.1%
71.748571434
 
< 0.1%
130.07785714
 
< 0.1%
86.260714294
 
< 0.1%
Other values (48642)51964
99.9%
ValueCountFrequency (%)
1.3135714291
< 0.1%
2.9057142861
< 0.1%
6.6257142861
< 0.1%
9.0321428571
< 0.1%
11.399285711
< 0.1%
ValueCountFrequency (%)
563.70857141
< 0.1%
527.72642861
< 0.1%
504.15142861
< 0.1%
501.39857141
< 0.1%
499.52214291
< 0.1%

usage_pack_data_avg_daily_w3_4
Real number (ℝ)

Zeros 

Distinct47954
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.64556559
Minimum0
Maximum544.8392857
Zeros1181
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:05.499800image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.888678571
Q127.98696429
median65.34
Q3110.3319643
95-th percentile206.08225
Maximum544.8392857
Range544.8392857
Interquartile range (IQR)82.345

Descriptive statistics

Standard deviation65.43069746
Coefficient of variation (CV)0.8319693167
Kurtosis2.596326955
Mean78.64556559
Median Absolute Deviation (MAD)40.26107143
Skewness1.384997624
Sum4089883.993
Variance4281.17617
MonotonicityNot monotonic
2025-11-23T20:18:05.778630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01181
 
2.3%
57.0054
 
< 0.1%
7.2428571434
 
< 0.1%
16.217142864
 
< 0.1%
11.140714294
 
< 0.1%
19.7854
 
< 0.1%
75.870714294
 
< 0.1%
5.3721428574
 
< 0.1%
92.526428574
 
< 0.1%
59.758571434
 
< 0.1%
Other values (47944)50787
97.7%
ValueCountFrequency (%)
01181
2.3%
0.0014285714291
 
< 0.1%
0.0042857142861
 
< 0.1%
0.011428571431
 
< 0.1%
0.014285714291
 
< 0.1%
ValueCountFrequency (%)
544.83928571
< 0.1%
516.57642861
< 0.1%
516.34142861
< 0.1%
502.22928571
< 0.1%
492.77071431
< 0.1%

usage_pack_data_median_w1_2
Real number (ℝ)

Zeros 

Distinct27235
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.2123803
Minimum0
Maximum553.385
Zeros2549
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:06.027477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.74075
Q168.265
median95.37
Q3116.04
95-th percentile170.70475
Maximum553.385
Range553.385
Interquartile range (IQR)47.775

Descriptive statistics

Standard deviation51.19308065
Coefficient of variation (CV)0.5492090266
Kurtosis5.760066583
Mean93.2123803
Median Absolute Deviation (MAD)23.7325
Skewness1.24311734
Sum4847416.625
Variance2620.731507
MonotonicityNot monotonic
2025-11-23T20:18:06.287319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02549
 
4.9%
99.9713
 
< 0.1%
98.8512
 
< 0.1%
102.98511
 
< 0.1%
100.0610
 
< 0.1%
99.84510
 
< 0.1%
106.50510
 
< 0.1%
99.52510
 
< 0.1%
102.829
 
< 0.1%
115.5359
 
< 0.1%
Other values (27225)49361
94.9%
ValueCountFrequency (%)
02549
4.9%
0.0151
 
< 0.1%
0.031
 
< 0.1%
0.041
 
< 0.1%
0.051
 
< 0.1%
ValueCountFrequency (%)
553.3851
< 0.1%
530.7251
< 0.1%
527.6851
< 0.1%
515.5451
< 0.1%
490.871
< 0.1%

usage_pack_data_median_w3_4
Real number (ℝ)

Zeros 

Distinct22787
Distinct (%)43.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.05766729
Minimum0
Maximum684.335
Zeros20942
Zeros (%)40.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:06.547165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median17.4175
Q392.21
95-th percentile176.56275
Maximum684.335
Range684.335
Interquartile range (IQR)92.21

Descriptive statistics

Standard deviation65.63237049
Coefficient of variation (CV)1.28545572
Kurtosis2.214194502
Mean51.05766729
Median Absolute Deviation (MAD)17.4175
Skewness1.403353387
Sum2655202.93
Variance4307.608056
MonotonicityNot monotonic
2025-11-23T20:18:06.820995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020942
40.3%
2.0157
 
< 0.1%
25.477
 
< 0.1%
17.6557
 
< 0.1%
4.757
 
< 0.1%
1.2456
 
< 0.1%
3.136
 
< 0.1%
6.4156
 
< 0.1%
19.5356
 
< 0.1%
696
 
< 0.1%
Other values (22777)31004
59.6%
ValueCountFrequency (%)
020942
40.3%
0.0054
 
< 0.1%
0.012
 
< 0.1%
0.0152
 
< 0.1%
0.023
 
< 0.1%
ValueCountFrequency (%)
684.3351
< 0.1%
582.521
< 0.1%
552.611
< 0.1%
535.121
< 0.1%
517.531
< 0.1%
Distinct52003
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.98114052
Minimum0.6078664725
Maximum563.1358844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:07.090830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.6078664725
5-th percentile9.208482313
Q135.36918605
median58.98418363
Q3105.3678949
95-th percentile275.5414393
Maximum563.1358844
Range562.5280179
Interquartile range (IQR)69.99870886

Descriptive statistics

Standard deviation84.03618296
Coefficient of variation (CV)0.9551613273
Kurtosis2.56379923
Mean87.98114052
Median Absolute Deviation (MAD)31.12538403
Skewness1.695622091
Sum4575371.232
Variance7062.080047
MonotonicityNot monotonic
2025-11-23T20:18:07.369663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.803012622
 
< 0.1%
42.412441241
 
< 0.1%
64.70321351
 
< 0.1%
32.487476781
 
< 0.1%
59.655044651
 
< 0.1%
10.404947181
 
< 0.1%
35.487014681
 
< 0.1%
56.913461091
 
< 0.1%
69.130429081
 
< 0.1%
58.958068211
 
< 0.1%
Other values (51993)51993
> 99.9%
ValueCountFrequency (%)
0.60786647251
< 0.1%
0.63149047481
< 0.1%
0.64780991991
< 0.1%
0.65797725341
< 0.1%
0.65886223941
< 0.1%
ValueCountFrequency (%)
563.13588441
< 0.1%
551.91315931
< 0.1%
537.84497021
< 0.1%
536.62355621
< 0.1%
532.63993981
< 0.1%

usage_pack_data_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50757
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.54824939
Minimum0
Maximum555.1840759
Zeros1181
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:07.636501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.203815249
Q139.18146121
median70.65728886
Q3104.4320454
95-th percentile260.699946
Maximum555.1840759
Range555.1840759
Interquartile range (IQR)65.25058418

Descriptive statistics

Standard deviation76.68880171
Coefficient of variation (CV)0.8563964369
Kurtosis3.021484864
Mean89.54824939
Median Absolute Deviation (MAD)32.3586535
Skewness1.685803953
Sum4656867.161
Variance5881.172307
MonotonicityNot monotonic
2025-11-23T20:18:07.912334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01181
 
2.3%
30.526579054
 
< 0.1%
12.291344523
 
< 0.1%
33.380929112
 
< 0.1%
9.9848799982
 
< 0.1%
0.50512374722
 
< 0.1%
0.42227276222
 
< 0.1%
5.6552478792
 
< 0.1%
2.8249513272
 
< 0.1%
21.407625482
 
< 0.1%
Other values (50747)50802
97.7%
ValueCountFrequency (%)
01181
2.3%
0.0053452248381
 
< 0.1%
0.016035674511
 
< 0.1%
0.042761798711
 
< 0.1%
0.053452248381
 
< 0.1%
ValueCountFrequency (%)
555.18407591
< 0.1%
542.24594941
< 0.1%
522.33988281
< 0.1%
514.95146031
< 0.1%
511.65616511
< 0.1%

usage_pack_vas_total_w1_2
Real number (ℝ)

Distinct39351
Distinct (%)75.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean311.3432859
Minimum24.53
Maximum1402.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:08.175174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum24.53
5-th percentile148.1315
Q1207.1875
median275.275
Q3357.65
95-th percentile645.631
Maximum1402.59
Range1378.06
Interquartile range (IQR)150.4625

Descriptive statistics

Standard deviation157.1322979
Coefficient of variation (CV)0.5046914612
Kurtosis5.22206809
Mean311.3432859
Median Absolute Deviation (MAD)73.735
Skewness1.978527515
Sum16191096.24
Variance24690.55904
MonotonicityNot monotonic
2025-11-23T20:18:08.456005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260.767
 
< 0.1%
284.27
 
< 0.1%
212.757
 
< 0.1%
196.817
 
< 0.1%
353.367
 
< 0.1%
185.256
 
< 0.1%
269.916
 
< 0.1%
246.116
 
< 0.1%
259.156
 
< 0.1%
165.966
 
< 0.1%
Other values (39341)51939
99.9%
ValueCountFrequency (%)
24.531
< 0.1%
28.351
< 0.1%
32.411
< 0.1%
32.871
< 0.1%
35.311
< 0.1%
ValueCountFrequency (%)
1402.591
< 0.1%
1378.911
< 0.1%
1375.431
< 0.1%
1371.981
< 0.1%
1370.271
< 0.1%

usage_pack_vas_total_w3_4
Real number (ℝ)

Zeros 

Distinct39547
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.842026
Minimum0
Maximum1492.95
Zeros1194
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:08.732835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.55
Q179.36
median183.145
Q3308.4525
95-th percentile572.0965
Maximum1492.95
Range1492.95
Interquartile range (IQR)229.0925

Descriptive statistics

Standard deviation181.8760035
Coefficient of variation (CV)0.8273031632
Kurtosis2.600656071
Mean219.842026
Median Absolute Deviation (MAD)112.115
Skewness1.379761913
Sum11432664.72
Variance33078.88065
MonotonicityNot monotonic
2025-11-23T20:18:09.010664image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01194
 
2.3%
56.837
 
< 0.1%
22.537
 
< 0.1%
143.387
 
< 0.1%
68.816
 
< 0.1%
18.256
 
< 0.1%
13.76
 
< 0.1%
24.666
 
< 0.1%
10.286
 
< 0.1%
36.26
 
< 0.1%
Other values (39537)50753
97.6%
ValueCountFrequency (%)
01194
2.3%
0.031
 
< 0.1%
0.062
 
< 0.1%
0.071
 
< 0.1%
0.071
 
< 0.1%
ValueCountFrequency (%)
1492.951
< 0.1%
1478.111
< 0.1%
1370.391
< 0.1%
1328.791
< 0.1%
1320.81
< 0.1%
Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.87149065
Minimum1
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:09.224534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q19
median11
Q314
95-th percentile14
Maximum14
Range13
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.744825796
Coefficient of variation (CV)0.252479249
Kurtosis-1.123379332
Mean10.87149065
Median Absolute Deviation (MAD)3
Skewness-0.2799392627
Sum565361
Variance7.534068651
MonotonicityNot monotonic
2025-11-23T20:18:09.424414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1416178
31.1%
87462
14.3%
96391
 
12.3%
105565
 
10.7%
134139
 
8.0%
113410
 
6.6%
123344
 
6.4%
72987
 
5.7%
61474
 
2.8%
5695
 
1.3%
Other values (4)359
 
0.7%
ValueCountFrequency (%)
11
 
< 0.1%
215
 
< 0.1%
372
 
0.1%
4271
 
0.5%
5695
1.3%
ValueCountFrequency (%)
1416178
31.1%
134139
 
8.0%
123344
 
6.4%
113410
 
6.6%
105565
 
10.7%

usage_pack_vas_active_days_w3_4
Real number (ℝ)

Zeros 

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.199965387
Minimum0
Maximum14
Zeros1194
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:09.593312image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q39
95-th percentile13
Maximum14
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.355574525
Coefficient of variation (CV)0.4660542578
Kurtosis-0.3690625003
Mean7.199965387
Median Absolute Deviation (MAD)2
Skewness-0.05787159893
Sum374427
Variance11.25988039
MonotonicityNot monotonic
2025-11-23T20:18:09.785194image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
86922
13.3%
96526
12.5%
76145
11.8%
65594
10.8%
54089
7.9%
103976
7.6%
43146
 
6.0%
112695
 
5.2%
142542
 
4.9%
32493
 
4.8%
Other values (5)7876
15.1%
ValueCountFrequency (%)
01194
 
2.3%
12119
4.1%
21974
3.8%
32493
4.8%
43146
6.0%
ValueCountFrequency (%)
142542
4.9%
131102
 
2.1%
121487
 
2.9%
112695
5.2%
103976
7.6%
Distinct38641
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.23880614
Minimum1.752142857
Maximum100.185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:10.033048image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.752142857
5-th percentile10.58082143
Q114.79910714
median19.6625
Q325.54642857
95-th percentile46.1165
Maximum100.185
Range98.43285714
Interquartile range (IQR)10.74732143

Descriptive statistics

Standard deviation11.22373556
Coefficient of variation (CV)0.5046914612
Kurtosis5.22206809
Mean22.23880614
Median Absolute Deviation (MAD)5.266785714
Skewness1.978527515
Sum1156506.874
Variance125.97224
MonotonicityNot monotonic
2025-11-23T20:18:10.307876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17.532142867
 
< 0.1%
25.247
 
< 0.1%
15.196428577
 
< 0.1%
17.424285717
 
< 0.1%
14.057857147
 
< 0.1%
18.625714297
 
< 0.1%
16.057142867
 
< 0.1%
20.37
 
< 0.1%
19.365714296
 
< 0.1%
18.691428576
 
< 0.1%
Other values (38631)51936
99.9%
ValueCountFrequency (%)
1.7521428571
< 0.1%
2.0251
< 0.1%
2.3151
< 0.1%
2.3478571431
< 0.1%
2.5221428571
< 0.1%
ValueCountFrequency (%)
100.1851
< 0.1%
98.493571431
< 0.1%
98.2451
< 0.1%
97.998571431
< 0.1%
97.876428571
< 0.1%

usage_pack_vas_avg_daily_w3_4
Real number (ℝ)

Zeros 

Distinct38983
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.70300186
Minimum0
Maximum106.6392857
Zeros1194
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:10.589705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.9678571429
Q15.668571429
median13.08178571
Q322.03232143
95-th percentile40.86403571
Maximum106.6392857
Range106.6392857
Interquartile range (IQR)16.36375

Descriptive statistics

Standard deviation12.99114311
Coefficient of variation (CV)0.8273031632
Kurtosis2.600656071
Mean15.70300186
Median Absolute Deviation (MAD)8.008214286
Skewness1.379761913
Sum816618.9086
Variance168.7697992
MonotonicityNot monotonic
2025-11-23T20:18:11.157360image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01194
 
2.3%
4.2964285717
 
< 0.1%
10.241428577
 
< 0.1%
1.6092857147
 
< 0.1%
4.0592857147
 
< 0.1%
2.5857142866
 
< 0.1%
4.3907142866
 
< 0.1%
1.7614285716
 
< 0.1%
0.73428571436
 
< 0.1%
0.97857142866
 
< 0.1%
Other values (38973)50752
97.6%
ValueCountFrequency (%)
01194
2.3%
0.0021428571431
 
< 0.1%
0.0042857142862
 
< 0.1%
0.0051
 
< 0.1%
0.0051
 
< 0.1%
ValueCountFrequency (%)
106.63928571
< 0.1%
105.57928571
< 0.1%
97.8851
< 0.1%
94.913571431
< 0.1%
94.342857141
< 0.1%

usage_pack_vas_median_w1_2
Real number (ℝ)

Zeros 

Distinct10896
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.66275969
Minimum0
Maximum113.87
Zeros2528
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:11.426196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.18075
Q113.68
median19.085
Q323.17
95-th percentile33.86
Maximum113.87
Range113.87
Interquartile range (IQR)9.49

Descriptive statistics

Standard deviation10.25021569
Coefficient of variation (CV)0.5492336534
Kurtosis6.68212132
Mean18.66275969
Median Absolute Deviation (MAD)4.725
Skewness1.343488249
Sum970538.155
Variance105.0669216
MonotonicityNot monotonic
2025-11-23T20:18:11.700032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
02528
 
4.9%
20.1829
 
0.1%
20.20529
 
0.1%
19.94528
 
0.1%
19.97528
 
0.1%
20.0327
 
0.1%
20.76527
 
0.1%
20.45527
 
0.1%
20.37527
 
0.1%
20.6827
 
0.1%
Other values (10886)49227
94.7%
ValueCountFrequency (%)
02528
4.9%
0.0051
 
< 0.1%
0.0152
 
< 0.1%
0.022
 
< 0.1%
0.0251
 
< 0.1%
ValueCountFrequency (%)
113.871
< 0.1%
111.5851
< 0.1%
108.4951
< 0.1%
107.4851
< 0.1%
104.551
< 0.1%

usage_pack_vas_median_w3_4
Real number (ℝ)

Zeros 

Distinct10863
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.30278748
Minimum0
Maximum122.48
Zeros20609
Zeros (%)39.6%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:11.972865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.74
Q318.65
95-th percentile35.19925
Maximum122.48
Range122.48
Interquartile range (IQR)18.65

Descriptive statistics

Standard deviation13.05063182
Coefficient of variation (CV)1.266708825
Kurtosis1.807697489
Mean10.30278748
Median Absolute Deviation (MAD)3.74
Skewness1.339207451
Sum535786.16
Variance170.3189909
MonotonicityNot monotonic
2025-11-23T20:18:12.245699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
020609
39.6%
0.0718
 
< 0.1%
0.4917
 
< 0.1%
0.0917
 
< 0.1%
0.26517
 
< 0.1%
2.18516
 
< 0.1%
0.816
 
< 0.1%
0.0415
 
< 0.1%
0.03515
 
< 0.1%
0.0115
 
< 0.1%
Other values (10853)31249
60.1%
ValueCountFrequency (%)
020609
39.6%
0.0054
 
< 0.1%
0.0115
 
< 0.1%
0.0159
 
< 0.1%
0.0210
 
< 0.1%
ValueCountFrequency (%)
122.481
< 0.1%
110.5951
< 0.1%
107.351
< 0.1%
97.7351
< 0.1%
96.651
< 0.1%

usage_pack_vas_std_dev_w1_2
Real number (ℝ)

Distinct52003
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.50817496
Minimum0.1202469985
Maximum124.1832911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:12.522533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1202469985
5-th percentile1.76312185
Q16.968485367
median11.81755432
Q320.92332676
95-th percentile55.07734712
Maximum124.1832911
Range124.0630441
Interquartile range (IQR)13.95484139

Descriptive statistics

Standard deviation16.72674809
Coefficient of variation (CV)0.9553678857
Kurtosis2.552472824
Mean17.50817496
Median Absolute Deviation (MAD)6.209479373
Skewness1.693987936
Sum910495.1304
Variance279.7841017
MonotonicityNot monotonic
2025-11-23T20:18:12.797366image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.627399242
 
< 0.1%
10.314202841
 
< 0.1%
11.094597041
 
< 0.1%
30.768539981
 
< 0.1%
33.930900761
 
< 0.1%
16.270303581
 
< 0.1%
26.406599291
 
< 0.1%
11.776413191
 
< 0.1%
1.4185267471
 
< 0.1%
21.720248521
 
< 0.1%
Other values (51993)51993
> 99.9%
ValueCountFrequency (%)
0.12024699851
< 0.1%
0.13851845591
< 0.1%
0.13937852641
< 0.1%
0.13954399831
< 0.1%
0.14096410581
< 0.1%
ValueCountFrequency (%)
124.18329111
< 0.1%
115.91306121
< 0.1%
109.51560231
< 0.1%
109.07117551
< 0.1%
104.96026521
< 0.1%

usage_pack_vas_std_dev_w3_4
Real number (ℝ)

Zeros 

Distinct50472
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.88416135
Minimum0
Maximum118.1984427
Zeros1194
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:13.060206image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.863045846
Q17.924281184
median14.17564398
Q320.88635763
95-th percentile51.63386097
Maximum118.1984427
Range118.1984427
Interquartile range (IQR)12.96207645

Descriptive statistics

Standard deviation15.24297655
Coefficient of variation (CV)0.8523171008
Kurtosis3.163812732
Mean17.88416135
Median Absolute Deviation (MAD)6.409240378
Skewness1.705402529
Sum930047.9268
Variance232.3483341
MonotonicityNot monotonic
2025-11-23T20:18:13.336035image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01194
 
2.3%
4.4980067014
 
< 0.1%
0.096214047094
 
< 0.1%
6.1389907274
 
< 0.1%
5.3906592494
 
< 0.1%
3.060141224
 
< 0.1%
0.56659383294
 
< 0.1%
1.0236105573
 
< 0.1%
3.0360877083
 
< 0.1%
5.1474515193
 
< 0.1%
Other values (50462)50777
97.6%
ValueCountFrequency (%)
01194
2.3%
0.0080178372571
 
< 0.1%
0.016035674512
 
< 0.1%
0.01605279751
 
< 0.1%
0.018708286931
 
< 0.1%
ValueCountFrequency (%)
118.19844271
< 0.1%
116.23109431
< 0.1%
113.53458641
< 0.1%
107.04104711
< 0.1%
106.76095951
< 0.1%

total_data_w1_2
Real number (ℝ)

Distinct50638
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5917.856827
Minimum2182.62
Maximum16155.17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:13.596880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2182.62
5-th percentile3980.9645
Q14864.3825
median5656.97
Q36709.345
95-th percentile8724.551
Maximum16155.17
Range13972.55
Interquartile range (IQR)1844.9625

Descriptive statistics

Standard deviation1477.240298
Coefficient of variation (CV)0.2496242037
Kurtosis1.581035604
Mean5917.856827
Median Absolute Deviation (MAD)890.7
Skewness1.023689749
Sum307752226.4
Variance2182238.899
MonotonicityNot monotonic
2025-11-23T20:18:13.866714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5395.814
 
< 0.1%
6668.774
 
< 0.1%
4318.544
 
< 0.1%
5899.334
 
< 0.1%
4751.243
 
< 0.1%
4454.093
 
< 0.1%
5573.263
 
< 0.1%
4790.423
 
< 0.1%
3976.93
 
< 0.1%
4912.263
 
< 0.1%
Other values (50628)51970
99.9%
ValueCountFrequency (%)
2182.621
< 0.1%
2357.91
< 0.1%
2467.981
< 0.1%
2534.051
< 0.1%
2564.521
< 0.1%
ValueCountFrequency (%)
16155.171
< 0.1%
15925.341
< 0.1%
15696.841
< 0.1%
15535.441
< 0.1%
14407.271
< 0.1%

total_data_w3_4
Real number (ℝ)

Distinct50973
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4179.323886
Minimum224.88
Maximum14565.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:14.131555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum224.88
5-th percentile1550.4995
Q12896.4075
median4004.535
Q35262.9925
95-th percentile7391.4085
Maximum14565.76
Range14340.88
Interquartile range (IQR)2366.585

Descriptive statistics

Standard deviation1790.227737
Coefficient of variation (CV)0.4283534336
Kurtosis0.5812140901
Mean4179.323886
Median Absolute Deviation (MAD)1176.095
Skewness0.6326034771
Sum217341559.4
Variance3204915.35
MonotonicityNot monotonic
2025-11-23T20:18:14.414383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2777.633
 
< 0.1%
4949.513
 
< 0.1%
4008.423
 
< 0.1%
4997.963
 
< 0.1%
3345.083
 
< 0.1%
3409.513
 
< 0.1%
4803.713
 
< 0.1%
3774.253
 
< 0.1%
3278.543
 
< 0.1%
4435.713
 
< 0.1%
Other values (50963)51974
99.9%
ValueCountFrequency (%)
224.881
< 0.1%
246.361
< 0.1%
248.371
< 0.1%
260.461
< 0.1%
291.31
< 0.1%
ValueCountFrequency (%)
14565.761
< 0.1%
13806.641
< 0.1%
13678.741
< 0.1%
13347.861
< 0.1%
13149.11
< 0.1%

total_spend_w1_2
Real number (ℝ)

Distinct49054
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1871.832091
Minimum263.42
Maximum8145.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:14.684219image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum263.42
5-th percentile1000.366
Q11335.79
median1699.515
Q32113.9475
95-th percentile3558.3765
Maximum8145.94
Range7882.52
Interquartile range (IQR)778.1575

Descriptive statistics

Standard deviation804.9172517
Coefficient of variation (CV)0.4300157346
Kurtosis4.741405108
Mean1871.832091
Median Absolute Deviation (MAD)384.095
Skewness1.853496513
Sum97342756.06
Variance647891.7821
MonotonicityNot monotonic
2025-11-23T20:18:14.968044image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2080.524
 
< 0.1%
1178.044
 
< 0.1%
1328.794
 
< 0.1%
1616.544
 
< 0.1%
1568.654
 
< 0.1%
1297.243
 
< 0.1%
1852.83
 
< 0.1%
1305.533
 
< 0.1%
1725.523
 
< 0.1%
1963.73
 
< 0.1%
Other values (49044)51969
99.9%
ValueCountFrequency (%)
263.421
< 0.1%
273.281
< 0.1%
287.581
< 0.1%
310.81
< 0.1%
336.171
< 0.1%
ValueCountFrequency (%)
8145.941
< 0.1%
7614.761
< 0.1%
7374.891
< 0.1%
7337.721
< 0.1%
7257.561
< 0.1%

total_spend_w3_4
Real number (ℝ)

Distinct49583
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1320.879944
Minimum0
Maximum7670.99
Zeros27
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:15.244879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile204.7845
Q1610.1225
median1137.85
Q31791.7475
95-th percentile3139.7965
Maximum7670.99
Range7670.99
Interquartile range (IQR)1181.625

Descriptive statistics

Standard deviation939.9519332
Coefficient of variation (CV)0.711610421
Kurtosis2.348743347
Mean1320.879944
Median Absolute Deviation (MAD)573.59
Skewness1.299190751
Sum68691040.62
Variance883509.6367
MonotonicityNot monotonic
2025-11-23T20:18:15.523706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
027
 
0.1%
454.924
 
< 0.1%
652.643
 
< 0.1%
1026.533
 
< 0.1%
930.513
 
< 0.1%
1733.133
 
< 0.1%
483.583
 
< 0.1%
365.843
 
< 0.1%
979.963
 
< 0.1%
408.623
 
< 0.1%
Other values (49573)51949
99.9%
ValueCountFrequency (%)
027
0.1%
0.021
 
< 0.1%
0.361
 
< 0.1%
1.081
 
< 0.1%
1.561
 
< 0.1%
ValueCountFrequency (%)
7670.991
< 0.1%
7476.191
< 0.1%
7416.61
< 0.1%
7355.21
< 0.1%
7020.661
< 0.1%

video_data_w1_2
Real number (ℝ)

Distinct49623
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2879.346009
Minimum838.47
Maximum11649.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:15.806537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum838.47
5-th percentile1636.9035
Q12144.5475
median2645.52
Q33292.1525
95-th percentile5045.768
Maximum11649.6
Range10811.13
Interquartile range (IQR)1147.605

Descriptive statistics

Standard deviation1076.730774
Coefficient of variation (CV)0.3739497688
Kurtosis3.523674233
Mean2879.346009
Median Absolute Deviation (MAD)555.725
Skewness1.559156184
Sum149737509.8
Variance1159349.16
MonotonicityNot monotonic
2025-11-23T20:18:16.092363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2046.114
 
< 0.1%
2506.334
 
< 0.1%
2382.084
 
< 0.1%
2238.373
 
< 0.1%
2656.763
 
< 0.1%
1704.233
 
< 0.1%
2412.713
 
< 0.1%
2974.033
 
< 0.1%
2042.373
 
< 0.1%
2368.453
 
< 0.1%
Other values (49613)51971
99.9%
ValueCountFrequency (%)
838.471
< 0.1%
846.851
< 0.1%
849.171
< 0.1%
887.471
< 0.1%
889.221
< 0.1%
ValueCountFrequency (%)
11649.61
< 0.1%
10933.441
< 0.1%
10455.881
< 0.1%
10406.831
< 0.1%
10067.151
< 0.1%

video_data_w3_4
Real number (ℝ)

Distinct50213
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2025.400491
Minimum0
Maximum10468.18
Zeros49
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:16.378189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile391.312
Q11086.5625
median1821.42
Q32711
95-th percentile4402.468
Maximum10468.18
Range10468.18
Interquartile range (IQR)1624.4375

Descriptive statistics

Standard deviation1258.892332
Coefficient of variation (CV)0.6215522995
Kurtosis1.540652702
Mean2025.400491
Median Absolute Deviation (MAD)797.345
Skewness1.043763756
Sum105328927.1
Variance1584809.905
MonotonicityNot monotonic
2025-11-23T20:18:16.664017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
049
 
0.1%
1199.914
 
< 0.1%
2160.634
 
< 0.1%
1190.983
 
< 0.1%
1465.543
 
< 0.1%
1098.893
 
< 0.1%
2323.873
 
< 0.1%
2078.423
 
< 0.1%
811.713
 
< 0.1%
2016.33
 
< 0.1%
Other values (50203)51926
99.9%
ValueCountFrequency (%)
049
0.1%
0.771
 
< 0.1%
1.161
 
< 0.1%
4.671
 
< 0.1%
5.691
 
< 0.1%
ValueCountFrequency (%)
10468.181
< 0.1%
10173.761
< 0.1%
10006.961
< 0.1%
9860.781
< 0.1%
9728.071
< 0.1%

messaging_data_w1_2
Real number (ℝ)

Distinct32052
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.851283
Minimum19.39
Maximum770.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:17.225973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19.39
5-th percentile73.38
Q1103.9
median138.08
Q3179.32
95-th percentile321.8185
Maximum770.68
Range751.29
Interquartile range (IQR)75.42

Descriptive statistics

Standard deviation78.41453062
Coefficient of variation (CV)0.5031368952
Kurtosis5.351149408
Mean155.851283
Median Absolute Deviation (MAD)37.155
Skewness1.973732852
Sum8104890.12
Variance6148.838613
MonotonicityNot monotonic
2025-11-23T20:18:17.514803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.5210
 
< 0.1%
95.259
 
< 0.1%
95.729
 
< 0.1%
181.489
 
< 0.1%
143.288
 
< 0.1%
129.258
 
< 0.1%
90.258
 
< 0.1%
101.268
 
< 0.1%
98.228
 
< 0.1%
96.928
 
< 0.1%
Other values (32042)51919
99.8%
ValueCountFrequency (%)
19.391
< 0.1%
21.271
< 0.1%
23.451
< 0.1%
25.141
< 0.1%
25.361
< 0.1%
ValueCountFrequency (%)
770.681
< 0.1%
733.981
< 0.1%
728.321
< 0.1%
709.481
< 0.1%
703.421
< 0.1%

messaging_data_w3_4
Real number (ℝ)

Zeros 

Distinct32700
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.2410359
Minimum0
Maximum737.14
Zeros1256
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:17.791627image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.5915
Q140.09
median91.86
Q3154.7325
95-th percentile285.97
Maximum737.14
Range737.14
Interquartile range (IQR)114.6425

Descriptive statistics

Standard deviation90.64409119
Coefficient of variation (CV)0.8222354812
Kurtosis2.465328814
Mean110.2410359
Median Absolute Deviation (MAD)56.33
Skewness1.346064338
Sum5732974.83
Variance8216.351268
MonotonicityNot monotonic
2025-11-23T20:18:18.066463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01256
 
2.4%
9.9510
 
< 0.1%
21.649
 
< 0.1%
19.869
 
< 0.1%
8.338
 
< 0.1%
17.988
 
< 0.1%
19.278
 
< 0.1%
65.118
 
< 0.1%
10.398
 
< 0.1%
10.838
 
< 0.1%
Other values (32690)50672
97.4%
ValueCountFrequency (%)
01256
2.4%
0.012
 
< 0.1%
0.021
 
< 0.1%
0.032
 
< 0.1%
0.044
 
< 0.1%
ValueCountFrequency (%)
737.141
< 0.1%
731.451
< 0.1%
705.711
< 0.1%
695.431
< 0.1%
694.011
< 0.1%

data_usage_change_2wk
Real number (ℝ)

Unique 

Distinct52004
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2912494551
Minimum-0.9382821763
Maximum1.514833163
Zeros0
Zeros (%)0.0%
Negative44916
Negative (%)86.4%
Memory size406.4 KiB
2025-11-23T20:18:18.351333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.9382821763
5-th percentile-0.6878135056
Q1-0.4822556154
median-0.3130854936
Q3-0.1260178437
95-th percentile0.1801315764
Maximum1.514833163
Range2.45311534
Interquartile range (IQR)0.3562377716

Descriptive statistics

Standard deviation0.2662744408
Coefficient of variation (CV)-0.9142487173
Kurtosis0.550467005
Mean-0.2912494551
Median Absolute Deviation (MAD)0.1772177779
Skewness0.5569309246
Sum-15146.13667
Variance0.07090207781
MonotonicityNot monotonic
2025-11-23T20:18:18.630161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.25929236231
 
< 0.1%
0.045439457451
 
< 0.1%
-0.46344016991
 
< 0.1%
-0.79377801651
 
< 0.1%
0.11316157191
 
< 0.1%
-0.5244237571
 
< 0.1%
-0.50241797071
 
< 0.1%
-0.37098523731
 
< 0.1%
-0.16474751371
 
< 0.1%
-0.4322414421
 
< 0.1%
Other values (51994)51994
> 99.9%
ValueCountFrequency (%)
-0.93828217631
< 0.1%
-0.93707471971
< 0.1%
-0.9362425661
< 0.1%
-0.93357958431
< 0.1%
-0.93186687281
< 0.1%
ValueCountFrequency (%)
1.5148331631
< 0.1%
1.3182971051
< 0.1%
1.244436981
< 0.1%
1.1977719271
< 0.1%
1.1002070491
< 0.1%

spend_change_2wk
Real number (ℝ)

Unique 

Distinct52004
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2769093209
Minimum-1
Maximum6.394325341
Zeros1
Zeros (%)< 0.1%
Negative38930
Negative (%)74.9%
Memory size406.4 KiB
2025-11-23T20:18:18.886009image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8619737246
Q1-0.6313505759
median-0.3587673066
Q30.002371799433
95-th percentile0.5227927095
Maximum6.394325341
Range7.394325341
Interquartile range (IQR)0.6337223753

Descriptive statistics

Standard deviation0.4649944297
Coefficient of variation (CV)-1.679229967
Kurtosis6.122371393
Mean-0.2769093209
Median Absolute Deviation (MAD)0.3059948431
Skewness1.39458356
Sum-14400.39232
Variance0.2162198196
MonotonicityNot monotonic
2025-11-23T20:18:19.168835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.44712016061
 
< 0.1%
-0.17430701641
 
< 0.1%
-0.83934522361
 
< 0.1%
-0.50866636671
 
< 0.1%
0.17669545411
 
< 0.1%
-0.80849892121
 
< 0.1%
-0.7730865241
 
< 0.1%
-0.10625875761
 
< 0.1%
0.14007003881
 
< 0.1%
-0.67560193121
 
< 0.1%
Other values (51994)51994
> 99.9%
ValueCountFrequency (%)
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
ValueCountFrequency (%)
6.3943253411
< 0.1%
6.2083767141
< 0.1%
5.2936604731
< 0.1%
5.0203023531
< 0.1%
4.9642532761
< 0.1%

video_data_change_2wk
Real number (ℝ)

Distinct52000
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2847351904
Minimum-1
Maximum3.061199357
Zeros0
Zeros (%)0.0%
Negative40550
Negative (%)78.0%
Memory size406.4 KiB
2025-11-23T20:18:19.449666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8291643764
Q1-0.580272908
median-0.3419931344
Q3-0.04648750747
95-th percentile0.4304705923
Maximum3.061199357
Range4.061199357
Interquartile range (IQR)0.5337854005

Descriptive statistics

Standard deviation0.3995752948
Coefficient of variation (CV)-1.403322484
Kurtosis1.813930113
Mean-0.2847351904
Median Absolute Deviation (MAD)0.2619991759
Skewness0.9305360007
Sum-14807.36884
Variance0.1596604162
MonotonicityNot monotonic
2025-11-23T20:18:19.730494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-12
 
< 0.1%
-12
 
< 0.1%
-12
 
< 0.1%
-12
 
< 0.1%
-0.53093380571
 
< 0.1%
0.62084972221
 
< 0.1%
-0.37801462791
 
< 0.1%
-0.2870248541
 
< 0.1%
-0.43333079361
 
< 0.1%
-0.11626150191
 
< 0.1%
Other values (51990)51990
> 99.9%
ValueCountFrequency (%)
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
ValueCountFrequency (%)
3.0611993571
< 0.1%
2.9453394871
< 0.1%
2.9402201061
< 0.1%
2.9364070121
< 0.1%
2.65354921
< 0.1%

messaging_data_change_2wk
Real number (ℝ)

Distinct51861
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2634788244
Minimum-1
Maximum11.36764222
Zeros0
Zeros (%)0.0%
Negative37441
Negative (%)72.0%
Memory size406.4 KiB
2025-11-23T20:18:20.009323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9438587599
Q1-0.6988463733
median-0.3680959575
Q30.06487681631
95-th percentile0.6936193008
Maximum11.36764222
Range12.36764222
Interquartile range (IQR)0.7637231896

Descriptive statistics

Standard deviation0.5665586139
Coefficient of variation (CV)-2.150300371
Kurtosis11.10446385
Mean-0.2634788244
Median Absolute Deviation (MAD)0.3681288093
Skewness1.7365576
Sum-13701.95279
Variance0.3209886629
MonotonicityNot monotonic
2025-11-23T20:18:20.281160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-13
 
< 0.1%
-13
 
< 0.1%
-13
 
< 0.1%
-13
 
< 0.1%
-13
 
< 0.1%
-13
 
< 0.1%
-13
 
< 0.1%
-13
 
< 0.1%
-13
 
< 0.1%
-13
 
< 0.1%
Other values (51851)51974
99.9%
ValueCountFrequency (%)
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
-11
< 0.1%
ValueCountFrequency (%)
11.367642221
< 0.1%
8.3981042651
< 0.1%
8.2571428571
< 0.1%
6.6533779261
< 0.1%
5.9231886691
< 0.1%

pct_data_on_video_w3_4
Real number (ℝ)

Distinct51956
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4764713489
Minimum0
Maximum0.9876583282
Zeros49
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:20.549995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1551494872
Q10.3386659577
median0.4774459807
Q30.6159403774
95-th percentile0.791704193
Maximum0.9876583282
Range0.9876583282
Interquartile range (IQR)0.2772744197

Descriptive statistics

Standard deviation0.1914975659
Coefficient of variation (CV)0.40190783
Kurtosis-0.5581796596
Mean0.4764713489
Median Absolute Deviation (MAD)0.1386353296
Skewness-0.02558104605
Sum24778.41603
Variance0.03667131774
MonotonicityNot monotonic
2025-11-23T20:18:20.822832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
049
 
0.1%
0.49151335261
 
< 0.1%
0.18574328061
 
< 0.1%
0.4005140381
 
< 0.1%
0.63985848121
 
< 0.1%
0.47862571511
 
< 0.1%
0.73558559471
 
< 0.1%
0.54698048091
 
< 0.1%
0.74015837251
 
< 0.1%
0.3057556371
 
< 0.1%
Other values (51946)51946
99.9%
ValueCountFrequency (%)
049
0.1%
0.00052654035751
 
< 0.1%
0.00096469468041
 
< 0.1%
0.0012480893011
 
< 0.1%
0.0019946295741
 
< 0.1%
ValueCountFrequency (%)
0.98765832821
< 0.1%
0.98247487851
< 0.1%
0.98118275911
< 0.1%
0.97850507861
< 0.1%
0.97778383711
< 0.1%

pct_data_on_messaging_w3_4
Real number (ℝ)

Zeros 

Distinct50749
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03105740039
Minimum0
Maximum0.5580302023
Zeros1256
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:21.083672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.001672257068
Q10.01041137396
median0.02274572985
Q30.04097598047
95-th percentile0.08857853418
Maximum0.5580302023
Range0.5580302023
Interquartile range (IQR)0.03056460651

Descriptive statistics

Standard deviation0.03186273645
Coefficient of variation (CV)1.025930569
Kurtosis18.34838587
Mean0.03105740039
Median Absolute Deviation (MAD)0.01425455892
Skewness3.066505842
Sum1615.10905
Variance0.001015233974
MonotonicityNot monotonic
2025-11-23T20:18:21.359507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01256
 
2.4%
0.027207460241
 
< 0.1%
0.060916717261
 
< 0.1%
0.029560198491
 
< 0.1%
0.019220211421
 
< 0.1%
0.054361412211
 
< 0.1%
0.010331856521
 
< 0.1%
0.10490732251
 
< 0.1%
0.013883592681
 
< 0.1%
0.065945236371
 
< 0.1%
Other values (50739)50739
97.6%
ValueCountFrequency (%)
01256
2.4%
2.083498277 × 10-61
 
< 0.1%
3.091381229 × 10-61
 
< 0.1%
7.249686451 × 10-61
 
< 0.1%
7.348708464 × 10-61
 
< 0.1%
ValueCountFrequency (%)
0.55803020231
< 0.1%
0.50320767781
< 0.1%
0.47366406241
< 0.1%
0.47042040091
< 0.1%
0.45826790871
< 0.1%

pct_spend_on_vas_w3_4
Real number (ℝ)

Zeros 

Distinct50762
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2433102251
Minimum0
Maximum1
Zeros1194
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:21.641334image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01147924106
Q10.07409892415
median0.1661385948
Q30.3316686024
95-th percentile0.7746455353
Maximum1
Range1
Interquartile range (IQR)0.2575696783

Descriptive statistics

Standard deviation0.2352295302
Coefficient of variation (CV)0.9667885108
Kurtosis1.758796006
Mean0.2433102251
Median Absolute Deviation (MAD)0.1107615872
Skewness1.490876548
Sum12653.10494
Variance0.05533293186
MonotonicityNot monotonic
2025-11-23T20:18:21.923161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01194
 
2.3%
13
 
< 0.1%
12
 
< 0.1%
12
 
< 0.1%
12
 
< 0.1%
12
 
< 0.1%
12
 
< 0.1%
12
 
< 0.1%
12
 
< 0.1%
12
 
< 0.1%
Other values (50752)50791
97.7%
ValueCountFrequency (%)
01194
2.3%
5.410297271 × 10-51
 
< 0.1%
7.120985544 × 10-51
 
< 0.1%
7.287326015 × 10-51
 
< 0.1%
9.585627037 × 10-51
 
< 0.1%
ValueCountFrequency (%)
11
< 0.1%
11
< 0.1%
11
< 0.1%
11
< 0.1%
11
< 0.1%

distinct_services_w1_2
Real number (ℝ)

Skewed 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.99994231
Minimum11
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:22.113045image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q112
median12
Q312
95-th percentile12
Maximum12
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.007595107078
Coefficient of variation (CV)0.0006329286325
Kurtosis17331.33314
Mean11.99994231
Median Absolute Deviation (MAD)0
Skewness-131.6535856
Sum624045
Variance5.768565153 × 10-5
MonotonicityNot monotonic
2025-11-23T20:18:22.278946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1252001
> 99.9%
113
 
< 0.1%
ValueCountFrequency (%)
113
 
< 0.1%
1252001
> 99.9%
ValueCountFrequency (%)
1252001
> 99.9%
113
 
< 0.1%

distinct_services_w3_4
Real number (ℝ)

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.71557957
Minimum8
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:22.434850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11
Q112
median12
Q312
95-th percentile12
Maximum12
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5376814564
Coefficient of variation (CV)0.04589456742
Kurtosis3.721671606
Mean11.71557957
Median Absolute Deviation (MAD)0
Skewness-1.916358416
Sum609257
Variance0.2891013486
MonotonicityNot monotonic
2025-11-23T20:18:22.611742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
1239221
75.4%
1110980
 
21.1%
101610
 
3.1%
9181
 
0.3%
812
 
< 0.1%
ValueCountFrequency (%)
812
 
< 0.1%
9181
 
0.3%
101610
 
3.1%
1110980
 
21.1%
1239221
75.4%
ValueCountFrequency (%)
1239221
75.4%
1110980
 
21.1%
101610
 
3.1%
9181
 
0.3%
812
 
< 0.1%

change_in_distinct_services
Real number (ℝ)

Zeros 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2843627413
Minimum-4
Maximum1
Zeros39221
Zeros (%)75.4%
Negative12782
Negative (%)24.6%
Memory size406.4 KiB
2025-11-23T20:18:22.789634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile-1
Q10
median0
Q30
95-th percentile0
Maximum1
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5376583229
Coefficient of variation (CV)-1.890748135
Kurtosis3.722283624
Mean-0.2843627413
Median Absolute Deviation (MAD)0
Skewness-1.916040767
Sum-14788
Variance0.2890764722
MonotonicityNot monotonic
2025-11-23T20:18:22.949539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
039221
75.4%
-110980
 
21.1%
-21609
 
3.1%
-3181
 
0.3%
-412
 
< 0.1%
11
 
< 0.1%
ValueCountFrequency (%)
-412
 
< 0.1%
-3181
 
0.3%
-21609
 
3.1%
-110980
 
21.1%
039221
75.4%
ValueCountFrequency (%)
11
 
< 0.1%
039221
75.4%
-110980
 
21.1%
-21609
 
3.1%
-3181
 
0.3%

churn
Real number (ℝ)

Zeros 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.231174525
Minimum0
Maximum1
Zeros39982
Zeros (%)76.9%
Negative0
Negative (%)0.0%
Memory size406.4 KiB
2025-11-23T20:18:23.099447image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4215878103
Coefficient of variation (CV)1.823677631
Kurtosis-0.3734990773
Mean0.231174525
Median Absolute Deviation (MAD)0
Skewness1.275349085
Sum12022
Variance0.1777362818
MonotonicityNot monotonic
2025-11-23T20:18:23.253353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
039982
76.9%
112022
 
23.1%
ValueCountFrequency (%)
039982
76.9%
112022
 
23.1%
ValueCountFrequency (%)
112022
 
23.1%
039982
76.9%